Emory-HITI / EMBED_Open_DataLinks
Data descriptor and sample notebooks for the Emory Breast Imaging Dataset (EMBED) hosted on the AWS Open Data Program
☆76Updated 2 weeks ago
Alternatives and similar repositories for EMBED_Open_Data
Users that are interested in EMBED_Open_Data are comparing it to the libraries listed below
Sorting:
- Torch utilities for 3D medical imaging☆47Updated last week
- [Nature Machine Intelligence 2024] Code and evaluation repository for the paper☆120Updated 5 months ago
- A curated list of foundation models for vision and language tasks in medical imaging☆270Updated last year
- Archive for Self-supervised learning in Medical images (A4SM).☆60Updated 3 years ago
- Foundation 3D ViT model for volumetric head CT☆42Updated 3 months ago
- medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis☆170Updated last year
- PyTorch implementation of a multi-task, weak supervision framework for abnormality localization in large, volumetric images.☆23Updated 2 years ago
- Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis☆46Updated 2 years ago
- This repository is mainly dedicated for listing the recent research advancements in the application of Self-Supervised-Learning in medica…☆156Updated last year
- The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations☆68Updated 3 months ago
- CT-FM: A 3D Image-Based Foundation Model for Computed Tomography☆43Updated 5 months ago
- Merlin is a 3D VLM for computed tomography that leverages both structured electronic health records (EHR) and unstructured radiology repo…☆121Updated 3 months ago
- ☆73Updated last month
- ☆25Updated 5 months ago
- Awesome Medical Imaging Datasets☆46Updated 2 months ago
- Latex template for the MIDL Conference☆57Updated 6 months ago
- The RISE Journal Club aims to create a friendly environment to discuss the latest state-of-the-art papers in the areas of medical image …☆69Updated 2 months ago
- Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, sk…☆27Updated last year
- ☆41Updated last year
- ☆150Updated last month
- A metric suite leveraging the logical inference capabilities of LLMs, for radiology report generation both with and without grounding☆76Updated 8 months ago
- MoCo-based unsupervised training for Chest X-Ray Interpretation☆45Updated 3 years ago
- ☆11Updated 2 years ago
- This repository contains code to train a self-supervised learning model on chest X-ray images that lack explicit annotations and evaluate…☆200Updated last year
- Transparent medical image AI via an image–text foundation model grounded in medical literature☆73Updated 3 months ago
- A collection of self-supervised papers in medical imaging.☆40Updated 4 years ago
- Annotations for the PI-CAI Challenge: Public Training and Development Dataset☆62Updated last month
- LesionLocator is a framework for zero-shot lesion segmentation and longitudinal tumor tracking in 3D full-body imaging.☆61Updated last week
- ☆38Updated 3 years ago
- A Quick Guide on Radiology Image Pre-processing for Deep Learning Applications in Prostate Cancer Research☆27Updated 2 years ago