README.md

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license: cc-by-sa-4.0
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# 🏆 Medical Segmentation Decathlon Dataset

## 📝 Overview
The **Medical Segmentation Decathlon (MSD)** is a comprehensive benchmark dataset for validating algorithms in 3D medical image segmentation. It includes 10 distinct tasks, each with unique challenges like small data sizes, unbalanced labels, varying object scales, multi-class labels, and multimodal imaging.

## 🔗 Dataset Access
- 🌐 **Website:** [Medical Decathlon](http://medicaldecathlon.com/)
- 📂 **Google Drive:** [MSD Google Drive](https://drive.google.com/drive/folders/1HqEgzS8BV2c7xYNrZdEAnrHk7osJJ--2)

## 🧩 Task Descriptions and Download Links

### 🧠 Task 01: Brain Tumours
- **Target:** Gliomas segmentation (necrotic/active tumour and oedema)
- **Modality:** Multimodal MRI (FLAIR, T1w, T1gd, T2w)
- **Size:** 750 4D volumes (484 Training + 266 Testing)
- **Source:** BRATS 2016 & 2017 datasets
- **Challenge:** Complex, heterogeneously-located targets
- 📥 **Download:** [Task01_BrainTumour.tar](https://msd-for-monai.s3-us-west-2.amazonaws.com/Task01_BrainTumour.tar)

### ❤️ Task 02: Heart
- **Target:** Left Atrium
- **Modality:** Mono-modal MRI
- **Size:** 30 3D volumes (20 Training + 10 Testing)
- **Source:** King’s College London
- **Challenge:** Small dataset with high variability
- 📥 **Download:** [Task02_Heart.tar](https://msd-for-monai.s3-us-west-2.amazonaws.com/Task02_Heart.tar)

### 🫁 Task 03: Liver
- **Target:** Liver and tumour
- **Modality:** Portal venous phase CT
- **Size:** 201 3D volumes (131 Training + 70 Testing)
- **Source:** IRCAD Hôpitaux Universitaires
- **Challenge:** Unbalanced labels with large (liver) and small (tumour) targets
- 📥 **Download:** [Task03_Liver.tar](https://msd-for-monai.s3-us-west-2.amazonaws.com/Task03_Liver.tar)

### 🧬 Task 04: Hippocampus
- **Target:** Hippocampus head and body
- **Modality:** Mono-modal MRI
- **Size:** 394 3D volumes (263 Training + 131 Testing)
- **Source:** Vanderbilt University Medical Center
- **Challenge:** High-precision segmentation of small neighboring structures
- 📥 **Download:** [Task04_Hippocampus.tar](https://msd-for-monai.s3-us-west-2.amazonaws.com/Task04_Hippocampus.tar)

### 🧑‍⚕️ Task 05: Prostate
- **Target:** Prostate central gland and peripheral zone
- **Modality:** Multimodal MRI (T2, ADC)
- **Size:** 48 4D volumes (32 Training + 16 Testing)
- **Source:** Radboud University Medical Centre
- **Challenge:** Segmenting two adjacent regions with large variations
- 📥 **Download:** [Task05_Prostate.tar](https://msd-for-monai.s3-us-west-2.amazonaws.com/Task05_Prostate.tar)

### 🌬️ Task 06: Lung
- **Target:** Lung and tumours
- **Modality:** CT
- **Size:** 96 3D volumes (64 Training + 32 Testing)
- **Source:** The Cancer Imaging Archive
- **Challenge:** Small target (cancer) in a large image
- 📥 **Download:** [Task06_Lung.tar](https://msd-for-monai.s3-us-west-2.amazonaws.com/Task06_Lung.tar)

### 🍃 Task 07: Pancreas
- **Target:** Pancreas and tumour
- **Modality:** Portal venous phase CT
- **Size:** 420 3D volumes (282 Training + 139 Testing)
- **Source:** Memorial Sloan Kettering Cancer Center
- **Challenge:** Unbalanced labels with large, medium, and small structures
- 📥 **Download:** [Task07_Pancreas.tar](https://msd-for-monai.s3-us-west-2.amazonaws.com/Task07_Pancreas.tar)

### 🩸 Task 08: Hepatic Vessels
- **Target:** Hepatic vessels and tumour
- **Modality:** CT
- **Size:** 443 3D volumes (303 Training + 140 Testing)
- **Source:** Memorial Sloan Kettering Cancer Center
- **Challenge:** Small, tubular structures near a heterogeneous tumour
- 📥 **Download:** [Task08_HepaticVessel.tar](https://msd-for-monai.s3-us-west-2.amazonaws.com/Task08_HepaticVessel.tar)

### 🌿 Task 09: Spleen
- **Target:** Spleen
- **Modality:** CT
- **Size:** 61 3D volumes (41 Training + 20 Testing)
- **Source:** Memorial Sloan Kettering Cancer Center
- **Challenge:** Large foreground size variation
- 📥 **Download:** [Task09_Spleen.tar](https://msd-for-monai.s3-us-west-2.amazonaws.com/Task09_Spleen.tar)

### 🩹 Task 10: Colon
- **Target:** Colon Cancer Primaries
- **Modality:** CT
- **Size:** 190 3D volumes (126 Training + 64 Testing)
- **Source:** Memorial Sloan Kettering Cancer Center
- **Challenge:** Heterogeneous appearance
- 📥 **Download:** [Task10_Colon.tar](https://msd-for-monai.s3-us-west-2.amazonaws.com/Task10_Colon.tar)

## 📜 License
The data is available under a permissive CC-BY-SA 4.0 license, allowing sharing, distribution, and further development.

## 🖋️ Citation
Please cite the following paper when using this dataset: 

**[A large annotated medical image dataset for the development and evaluation of segmentation algorithms](https://arxiv.org/abs/1902.09063)**

## 📏 Assessment Metrics
Performance is evaluated using:
- 🥇 **Dice Score (DSC)**
- 📐 **Normalized Surface Distance (NSD)**

## 📬 Contact
For questions, please reach out to the organizers at: medicaldecathlon@gmail.com