🏆 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 📂 Google Drive: MSD Google Drive 🧩 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 ❤️ 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 🫁 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 lab…
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