1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection
[MICCAI 2024, top 11%] Official Pytorch implementation of Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
Official repository for RADTorch - The Medical Imaging Machine Learning Framework
This is the implementation of the 4th place solution (yu4u's part) for RSNA 2024 Lumbar Spine Degenerative Classification at Kaggle.
Repo to preform intracranial hemorrhage detection using data from RSNA's Medical Imaging competition.
RSNA STR Pulmonary Embolism Detection Kaggle Competition 13th Place Solution
[ICCVw 2023] "AW-Net: A Novel Fully Connected Attention-based Medical Image Segmentation Model" by Debojyoti Pal, Tanushree Meena, Dwarikanath Mahapatra, and Sudipta Roy.
2020 RSNA-STR Pulmonary Embolism Detection AI Challenge: Classify Pulmonary Embolism cases in chest CT scans. 12th place solution.
RSNA Intracranial Hemorrhage Detection. The challenge is to build an algorithm to detect acute intracranial hemorrhage and its subtypes. The Dataset provided by the Radiological Society of North America (RSNA) and MD.ai.
Repository to help solving RSNA kaggle's challenge
This is the Bone Age Assessment Dataset from RSNA Originally
This is the Bone Age Assessment Dataset from Kaggle, But Enhanced by neu.ro
Deep learning and segmentation in sex classification from left hand X-ray images in pediatric patients: how zero-shot Segment Anything Model (SAM) can improve medical image analysis
Visual Studio Code extension used for authoring Common Data Elements
RSNA Bone Age Competition
Fine-tuning Stable Diffusion v1.5 for synthetic mammography generation using RSNA and VinDr datasets. Memory-efficient attention, gradient accumulation, mixed precision training, YAML-based configs, and comprehensive monitoring with validation sampling.
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