alinajadebarnett / iaiabl
This code repository is associated with the paper "A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography." Nature Machine Intelligence, 2021. https://www.nature.com/articles/s42256-021-00423-x
☆30Updated 2 years ago
Alternatives and similar repositories for iaiabl:
Users that are interested in iaiabl are comparing it to the libraries listed below
- A collection of self-supervised papers in medical imaging.☆39Updated 3 years ago
- Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN …☆33Updated 4 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for TransVW☆61Updated 3 years ago
- ☆36Updated 9 months ago
- Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.…☆33Updated last year
- Lung Segmentations of COVID-19 Chest X-ray Dataset.☆31Updated 4 years ago
- DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation☆28Updated 3 months ago
- Official implementation of our paper "Self-Supervised Pretraining for 2D Medical Image Segmentation"☆43Updated 11 months ago
- Repository for the Universal Lesion Segmentation Challenge '23☆29Updated 3 weeks ago
- Repository for IPMI2020 TopoTxR: A Topological Biomarker forPredicting Treatment Response in Breast Cancer☆12Updated 2 years ago
- Official PyTorch Implementation and Pre-trained Models for Benchmarking Transfer Learning for Medical Image Analysis☆50Updated last year
- Archive for Self-supervised learning in Medical images (A4SM).☆56Updated 2 years ago
- Dermatology dataset composed of a diagnosis and seven-point checklist criteria labels☆76Updated 10 months ago
- Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]☆31Updated last year
- ☆29Updated 3 years ago
- AIDE: Annotation-efficient deep learning for automatic medical image segmentation☆52Updated 3 years ago
- MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.☆33Updated last month
- examples of using PyMIC for medical image computing with deep learning☆34Updated 2 months ago
- Data descriptor and sample notebooks for the Emory Breast Imaging Dataset (EMBED) hosted on the AWS Open Data Program☆67Updated last month
- This is the official implementation of the method ContIG, for self-supervised learning from medical imaging with genomics☆51Updated 2 years ago
- some resources on my path in deep learning and medical image analysis☆38Updated 6 months ago
- ☆19Updated 3 years ago
- ☆118Updated last year
- Official PyTorch Implementation for CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging - MIDL 20…☆10Updated 2 years ago
- This repo contains Grad-CAM for 3D volumes.☆77Updated 4 years ago
- Code for "Optimizing risk-based breast cancer screening policies with reinforcement learning"☆21Updated 3 years ago
- ☆34Updated 3 months ago
- Self distilled masked transformer based segmentor used in MICCAI 2022 paper by Jiang J, ... Veeraraghavan H et.al☆22Updated last year
- A collection of open-source algorithms for chest X-ray analysis☆13Updated last year
- ☆28Updated last year