fitushar / AI-in-Lung-Health-Benchmarking-Detection-and-Diagnostic-Models-Across-Multiple-CT-Scan-DatasetsLinks
This study presents the development and validation of AI models for both nodule detection and cancer classification tasks. This benchmarking across multiple datasets establishes the DLCSD as a reliable resource for lung cancer AI research.
☆36Updated 6 months ago
Alternatives and similar repositories for AI-in-Lung-Health-Benchmarking-Detection-and-Diagnostic-Models-Across-Multiple-CT-Scan-Datasets
Users that are interested in AI-in-Lung-Health-Benchmarking-Detection-and-Diagnostic-Models-Across-Multiple-CT-Scan-Datasets are comparing it to the libraries listed below
Sorting:
- Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.☆95Updated 5 months ago
- The official repository of the 2023 Kidney Tumor Segmentation Challenge (KiTS23)☆124Updated 2 months ago
- A package to compute medical segmentation metrics.☆178Updated last year
- ☆155Updated 3 weeks ago
- ☆114Updated last month
- LesionLocator is a framework for zero-shot lesion segmentation and longitudinal tumor tracking in 3D full-body imaging.☆72Updated last month
- Annotations for the PI-CAI Challenge: Public Training and Development Dataset☆66Updated 4 months ago
- [Nature Machine Intelligence 2024] Code and evaluation repository for the paper☆127Updated 8 months ago
- ☆49Updated 11 months ago
- PyTorch 3D U-Net implementation for Multimodal Brain Tumor Segmentation (BraTS 2021)☆76Updated 2 years ago
- ☆14Updated 11 months ago
- MICCAI 2024/2025: nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for segmentat…☆115Updated 3 months ago
- ☆132Updated 3 weeks ago
- ☆42Updated last year
- Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, sk…☆30Updated last year
- The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations☆83Updated 7 months ago
- Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder str…☆43Updated 3 years ago
- This Repo Will contain the Preprocessing Code for 3D Medical Imaging☆214Updated 5 years ago
- DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation☆31Updated last year
- Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning☆48Updated 8 months ago
- Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]☆38Updated 2 years ago
- Official repository for autoPET I+II machine lerning challenge☆81Updated last year
- MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)☆221Updated 2 months ago
- CT-FM: A 3D Image-Based Foundation Model for Computed Tomography☆56Updated 9 months ago
- [ICCV'25] SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images☆13Updated last week
- Brain MRIs classification using a ResNet-like architecture.☆24Updated 3 years ago
- Code for "Segment Anything Model for Medical Image Analysis: an Experimental Study" in Medical Image Analysis☆169Updated last year
- A foundation model for universal 3D blood vessel segmentation. Paper accepted @ CVPR25.☆124Updated 5 months ago
- ☆92Updated 3 weeks ago
- One-line code to get SoTA pre-trained Medical Image Models ready in PyTorch.☆45Updated 7 months ago