diff --git a/README.md b/README.md index bec2b40..7d4dc18 100644 --- a/README.md +++ b/README.md @@ -1,15 +1,22 @@
-This is the the official repository for the paper: "Foundation Model for Cancer Imaging Biomarkers " +This is the the official repository for the paper + +
+
-
+
+ +
+ + +
+
+

-Suraj Pai, Dennis Bontempi, Ibrahim Hadzic, Vasco Prudente, Mateo Sokač, Tafadzwa L. Chaunzwa, Simon Bernatz, Ahmed Hosny, Raymond H Mak, Nicolai J Birkbak, Hugo JWL Aerts - - [![Build Status](https://github.com/AIM-Harvard/foundation-cancer-image-biomarker/actions/workflows/build.yml/badge.svg)](https://github.com/AIM-Harvard/foundation-cancer-image-biomarker/actions/workflows/build.yml) [![Python Version](https://img.shields.io/pypi/pyversions/foundation-cancer-image-biomarker.svg)](https://pypi.org/project/foundation-cancer-image-biomarker/) [![Dependencies Status](https://img.shields.io/badge/dependencies-up%20to%20date-brightgreen.svg)](https://github.com/AIM-Harvard/foundation-cancer-image-biomarker/pulls?utf8=%E2%9C%93&q=is%3Apr%20author%3Aapp%2Fdependabot) @@ -23,7 +30,7 @@ This is the the official repository for the paper: "Foundation Model for Canc
--- -**NOTE: ** +**NOTE:** For detailed documentation check our [website](https://aim-harvard.github.io/foundation-cancer-image-biomarker/) --- \ No newline at end of file diff --git a/docs/index.md b/docs/index.md index 48a5677..04c6e7e 100644 --- a/docs/index.md +++ b/docs/index.md @@ -3,14 +3,13 @@ hide: - title --- # - -
-This is the the official documentation for the paper: "Foundation Model for Cancer Imaging Biomarkers " -
-
- - -Suraj Pai, Dennis Bontempi, Ibrahim Hadzic, Vasco Prudente, Mateo Sokač, Tafadzwa L. Chaunzwa, Simon Bernatz, Ahmed Hosny, Raymond H Mak, Nicolai J Birkbak, Hugo JWL Aerts +
+ +
+ + +
+
## Documentation Walkthrough @@ -20,11 +19,11 @@ This is the the official documentation for the paper: "Foundation Model for C !!! note [We also provide quickstart examples that run in a free-cloud based environment](./getting-started/cloud-quick-start.md) (through Google Colab) so you can get familiar with our workflows, without having to download anything on your local machine!! -[Replication Guide](./user-guide/data.md)
If you would like to pre-train a foundation model on your own unannotated data or would like to replicate the training and evaluation from our study, see here. +[Replication Guide](./replication-guide/data.md)
If you would like to pre-train a foundation model on your own unannotated data or would like to replicate the training and evaluation from our study, see here. [Tutorials](https://github.com/AIM-Harvard/foundation-cancer-image-biomarker/tree/master/tutorials)
We provide comprehensive tutorials that use the foundation model for cancer imaging biomarkers and compare against other popularly used methods. If you would like to build your own study using our foundation model, these set of tutorials are highly recommended as the starting point. -[API Docs](./api_docs/fmcib/index.html)
This is for the more advanced user who would like to deep-dive into different methods and classes provided by our package. +[API Docs](./reference/run)
This is for the more advanced user who would like to deep-dive into different methods and classes provided by our package. ## License diff --git a/docs/user-guide/analysis.md b/docs/replication-guide/analysis.md similarity index 100% rename from docs/user-guide/analysis.md rename to docs/replication-guide/analysis.md diff --git a/docs/replication-guide/baselines.md b/docs/replication-guide/baselines.md new file mode 100644 index 0000000..99d08f0 --- /dev/null +++ b/docs/replication-guide/baselines.md @@ -0,0 +1,2 @@ +# Reproduce Baselines +:hourglass_flowing_sand: Coming soon! :hourglass_flowing_sand: diff --git a/docs/user-guide/data.md b/docs/replication-guide/data.md similarity index 98% rename from docs/user-guide/data.md rename to docs/replication-guide/data.md index b509a3c..b220b59 100644 --- a/docs/user-guide/data.md +++ b/docs/replication-guide/data.md @@ -62,7 +62,7 @@ bash luna16.sh The easiest way to download the LUNG1 and RADIO datasets is through s5cmd and [IDC manifests](https://learn.canceridc.dev/data/downloading-data) For convenience, the manifests for each of the already been provided in `data/download` under `nsclc_radiomics.csv` for LUNG1 and `nsclc_radiogenomics.` -First, you'll need to install `s5cmd`. Follow the instructions here: https://github.com/peak/s5cmd?tab=readme-ov-file#installation +First, you'll need to install `s5cmd`. Follow the instructions [here]https://github.com/peak/s5cmd?tab=readme-ov-file#installation Once you have s5cmd installed, run diff --git a/docs/user-guide/download_models.md b/docs/replication-guide/download_models.md similarity index 100% rename from docs/user-guide/download_models.md rename to docs/replication-guide/download_models.md diff --git a/docs/user-guide/fm_adaptation.md b/docs/replication-guide/fm_adaptation.md similarity index 100% rename from docs/user-guide/fm_adaptation.md rename to docs/replication-guide/fm_adaptation.md diff --git a/docs/user-guide/inference.md b/docs/replication-guide/inference.md similarity index 100% rename from docs/user-guide/inference.md rename to docs/replication-guide/inference.md diff --git a/docs/user-guide/reproduce_fm.md b/docs/replication-guide/reproduce_fm.md similarity index 100% rename from docs/user-guide/reproduce_fm.md rename to docs/replication-guide/reproduce_fm.md diff --git a/docs/user-guide/reproduce_baselines.md b/docs/user-guide/reproduce_baselines.md deleted file mode 100644 index 1372cc3..0000000 --- a/docs/user-guide/reproduce_baselines.md +++ /dev/null @@ -1,34 +0,0 @@ -# Reproduce Baselines - -### Reproducing our baselines - -We have several different baselines that we compare against in this study. - - -As mentioned in [section](#supervised-models), we have three different supervised training implementations. Similar to the foundation pre-training, we use YAML files to maintain the configurations of these implementations. - -
- Supervised model trained from random initialization - -In order to reproduce this training, you can inspect the YAML configuration at `experiments/baselines/supervised_training/supervised_random_init.yaml`. By default, we configure this for Task 1. You can adapt this for Task 2 and Task 3 by searching for 'Note: ' comments in the YAML that outline what must be changed. - -You can start training by running this in the root code folder, -```bash -lighter fit --config_file ./experiments/baselines/supervised_training/supervised_random_init.yaml -``` - -
- - Fine-tuning a trained supervised model - -The YAML configuration at `experiments/baselines/supervised_training/supervised_finetune.yaml` describes how you can fine-tune an already trained supervised model. Note that this is possible only for Task 2 and Task 3 as we used the supervised model trained in Task 1 to load weights from. Make sure you download the weights for Task 1 supervised models. You can follow instructions [here](#model) - - -You can start training by running this in the root code folder, -```bash -lighter fit --config_file ./experiments/baselines/supervised_training/supervised_finetune.yaml -``` -
- - -### Reproducing our linear evaluation (Logistic Regression) diff --git a/fmcib/visualization/verify_io.py b/fmcib/visualization/verify_io.py index b5f799f..a45f9fe 100644 --- a/fmcib/visualization/verify_io.py +++ b/fmcib/visualization/verify_io.py @@ -17,14 +17,18 @@ def visualize_seed_point(row): None """ # Define the transformation pipeline + is_label_provided = "label_path" in row + keys = ["image_path", "label_path"] if is_label_provided else ["image_path"] + all_keys = keys if is_label_provided else ["image_path", "coordX", "coordY", "coordZ"] + T = monai_transforms.Compose( [ - monai_transforms.LoadImaged(keys=["image_path"], image_only=True, reader="ITKReader"), - monai_transforms.EnsureChannelFirstd(keys=["image_path"]), - monai_transforms.Spacingd(keys=["image_path"], pixdim=1, mode="bilinear", align_corners=True, diagonal=True), + monai_transforms.LoadImaged(keys=keys, image_only=True, reader="ITKReader"), + monai_transforms.EnsureChannelFirstd(keys=keys), + monai_transforms.Spacingd(keys=keys, pixdim=1, mode="bilinear", align_corners=True, diagonal=True), monai_transforms.ScaleIntensityRanged(keys=["image_path"], a_min=-1024, a_max=3072, b_min=0, b_max=1, clip=True), - monai_transforms.Orientationd(keys=["image_path"], axcodes="LPS"), - monai_transforms.SelectItemsd(keys=["image_path", "coordX", "coordY", "coordZ"]), + monai_transforms.Orientationd(keys=keys, axcodes="LPS"), + monai_transforms.SelectItemsd(keys=all_keys), ] ) @@ -32,30 +36,35 @@ def visualize_seed_point(row): out = T(row) # Calculate the center of the image - center = (-out["coordX"], -out["coordY"], out["coordZ"]) - center = np.linalg.inv(np.array(out["image_path"].affine)) @ np.array(center + (1,)) - center = [int(x) for x in center[:3]] - - # Define the image and label image = out["image_path"] - label = torch.zeros_like(image) - - # Define the dimensions of the image and the patch - C, H, W, D = image.shape - Ph, Pw, Pd = 50, 50, 50 - - # Calculate and clamp the ranges for cropping - min_h, max_h = max(center[0] - Ph // 2, 0), min(center[0] + Ph // 2, H) - min_w, max_w = max(center[1] - Pw // 2, 0), min(center[1] + Pw // 2, W) - min_d, max_d = max(center[2] - Pd // 2, 0), min(center[2] + Pd // 2, D) - - # Check if coordinates are valid - assert min_h < max_h, "Invalid coordinates: min_h >= max_h" - assert min_w < max_w, "Invalid coordinates: min_w >= max_w" - assert min_d < max_d, "Invalid coordinates: min_d >= max_d" - - # Define the label for the cropped region - label[:, min_h:max_h, min_w:max_w, min_d:max_d] = 1 + if not is_label_provided: + center = (-out["coordX"], -out["coordY"], out["coordZ"]) + center = np.linalg.inv(np.array(out["image_path"].affine)) @ np.array(center + (1,)) + center = [int(x) for x in center[:3]] + + # Define the image and label + label = torch.zeros_like(image) + + # Define the dimensions of the image and the patch + C, H, W, D = image.shape + Ph, Pw, Pd = 50, 50, 50 + + # Calculate and clamp the ranges for cropping + min_h, max_h = max(center[0] - Ph // 2, 0), min(center[0] + Ph // 2, H) + min_w, max_w = max(center[1] - Pw // 2, 0), min(center[1] + Pw // 2, W) + min_d, max_d = max(center[2] - Pd // 2, 0), min(center[2] + Pd // 2, D) + + # Check if coordinates are valid + assert min_h < max_h, "Invalid coordinates: min_h >= max_h" + assert min_w < max_w, "Invalid coordinates: min_w >= max_w" + assert min_d < max_d, "Invalid coordinates: min_d >= max_d" + + # Define the label for the cropped region + label[:, min_h:max_h, min_w:max_w, min_d:max_d] = 1 + else: + label = out["label_path"] + center = torch.nonzero(label).float().mean(dim=0) + center = [int(x) for x in center][1:] # Blend the image and the label ret = blend_images(image=image, label=label, alpha=0.3, cmap="hsv", rescale_arrays=False) diff --git a/mkdocs.yml b/mkdocs.yml index 065c13f..c6b1668 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -39,7 +39,8 @@ plugins: docstring_style: google options: # Removed the default filter that excludes private members (that is, members whose names start with a single underscore). - filters: null + filters: null + show_source: true nav: - 'index.md' @@ -48,12 +49,13 @@ nav: - 'Cloud Quick Start': 'getting-started/cloud-quick-start.md' - 'Quick Start': 'getting-started/quick-start.md' - 'Replication Guide': - - 'Data Download and Preprocessing': 'user-guide/data.md' - - 'Pre-training the FM': 'user-guide/reproduce_fm.md' - - 'Adapt the FM to downstream tasks': 'user-guide/fm_adaptation.md' - - 'Extracting Features & Predictions': 'user-guide/inference.md' - - 'Reproduce Analysis': 'user-guide/analysis.md' - # - 'Training baselines': 'user-guide/reproduce_baselines.md' + - 'Data Download and Preprocessing': 'replication-guide/data.md' + - 'Pre-training the FM': 'replication-guide/reproduce_fm.md' + - 'Adapt the FM to downstream tasks': 'replication-guide/fm_adaptation.md' + - 'Baselines for downstream tasks': 'replication-guide/baselines.md' + - 'Extracting Features & Predictions': 'replication-guide/inference.md' + - 'Reproduce Analysis': 'replication-guide/analysis.md' + # - 'Training baselines': 'replication-guide/reproduce_baselines.md' - 'Tutorials': https://github.com/AIM-Harvard/foundation-cancer-image-biomarker/tree/master/tutorials - 'API Reference': 'reference/' diff --git a/scripts/generate_api_reference_pages.py b/scripts/generate_api_reference_pages.py index 98d6ec9..9e7f000 100644 --- a/scripts/generate_api_reference_pages.py +++ b/scripts/generate_api_reference_pages.py @@ -18,7 +18,10 @@ root = Path(__file__).parent.parent src = root / PACKAGE -for path in sorted(src.rglob("*.py")): +# Sort files by depth +paths = sorted(src.rglob("*.py"), key=lambda path: len(path.parts)) + +for path in paths: print(f"Processing {path}") module_path = path.relative_to(src).with_suffix("") diff --git a/tutorials/get_seed_from_mask.ipynb b/tutorials/get_seed_from_mask.ipynb new file mode 100644 index 0000000..90166fe --- /dev/null +++ b/tutorials/get_seed_from_mask.ipynb @@ -0,0 +1,233 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Extract CoM seed point from Segmentation Masks\n", + "\n", + "The FMCIB `get_features` function expects image paths and seed points. If you have segmentations masks you would like to convert to CoM, this notebook provides instructions on how this can be achieved. \n", + "\n", + "Alternatively, you can use our Mhub https://mhub.ai/models/fmcib_radiomics implementation and use the `nrrd_mask_workflow` as mentioned here: https://github.com/MHubAI/documentation/blob/main/documentation/mhub/run_mhub.md#specify-the-workflow\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import SimpleITK as sitk\n", + "from fmcib.utils import download_LUNG1, build_image_seed_dict\n", + "from fmcib.visualization import visualize_seed_point" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we download a sample from LUNG1 to show the process of centroid extraction. Use your own data here and skip this step. \n", + "\n", + "The donwload and conversion will take about a minute. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "download_LUNG1(\"dummy\", samples=1)\n", + "build_image_seed_dict(\"dummy\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we get the path to the image and mask. This can be nii.gz, nrrd, mha or other formats supported by MONAI's ITKReader" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import pathlib\n", + "\n", + "dummy_path = pathlib.Path(\"dummy\")\n", + "image_path = list(dummy_path.rglob(\"image.nii.gz\"))[0]\n", + "mask_path = list(dummy_path.rglob(\"*GTV-1.nii.gz\"))[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "row = {\"image_path\": image_path, \"label_path\": mask_path}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The visualize seed point utility function also visualizes masks when `label_path` is provided as a key in the dict. " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "visualize_seed_point(row)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can now convert the label to centroid coordinates (in the physical space). For this we,\n", + "1. Load the mask using SimpleITK\n", + "2. Use SimpleITK `LabelShapeStatisticsImageFilter` to get the centroid" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "mask = sitk.ReadImage(mask_path)\n", + "\n", + "# get the center of massk from the mask via ITK\n", + "label_shape_filter = sitk.LabelShapeStatisticsImageFilter()\n", + "label_shape_filter.Execute(mask)\n", + "try:\n", + " centroid = label_shape_filter.GetCentroid(255)\n", + "except:\n", + " centroid = label_shape_filter.GetCentroid(1)\n", + "\n", + "# extract x, y, and z coordinates from the centroid\n", + "x, y, z = centroid\n", + "\n", + "# set up the coordinate dictionary\n", + "coordinate_dict = {\n", + " \"coordX\": x,\n", + " \"coordY\": y,\n", + " \"coordZ\": z,\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'coordX': 74.38400898759812,\n", + " 'coordY': -10.182702709795393,\n", + " 'coordZ': -484.36077558804834}" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "coordinate_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "row = {\"image_path\": image_path, **coordinate_dict}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we can call the visualize seed point function again but this time with the `image_path` and coordinate values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "visualize_seed_point(row)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The bounding box that will be passed to FMCIB centered around the seed point is now seen. " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "fmcib_env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}