Alternatives and similar repositories for EMBED_Open_Data:

Users that are interested in EMBED_Open_Data are comparing it to the libraries listed below

• AIM-Harvard / foundation-cancer-image-biomarker
  [Nature Machine Intelligence 2024] Code and evaluation repository for the paper
  ☆102Updated 2 weeks ago
• rachellea / ct-volume-preprocessing
  End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Ma…
  ☆61Updated 4 years ago
• xmindflow / Awesome-Foundation-Models-in-Medical-Imaging
  A curated list of foundation models for vision and language tasks in medical imaging
  ☆243Updated 9 months ago
• nyukat / GLAM
  Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
  ☆45Updated 2 years ago
• rcuocolo / PROSTATEx_masks
  Lesion and prostate masks for the PROSTATEx training dataset, after a lesion-by-lesion quality check.
  ☆82Updated 2 years ago
• DIAGNijmegen / picai_labels
  Annotations for the PI-CAI Challenge: Public Training and Development Dataset
  ☆57Updated 6 months ago
• StanfordMIMI / Merlin
  Merlin is a 3D VLM for computed tomography that leverages both structured electronic health records (EHR) and unstructured radiology repo…
  ☆55Updated 2 weeks ago
• SaeedShurrab / awesome-self-supervised-learning-in-medical-imaging
  This repository is mainly dedicated for listing the recent research advancements in the application of Self-Supervised-Learning in medica…
  ☆150Updated 7 months ago
• dalcalab / voxel
  Torch utilities for 3D medical imaging
  ☆27Updated this week
• rachellea / ct-net-models
  Machine learning models for multi-organ, multi-disease prediction in chest CT volumes. From paper Draelos et al. "Machine-Learning-Based …
  ☆33Updated 2 years ago
• neheller / kits23
  The official repository of the 2023 Kidney Tumor Segmentation Challenge (KiTS23)
  ☆95Updated 2 weeks ago
• MECLabTUDA / Lifelong-nnUNet
  ☆147Updated 6 months ago
• funnyzhou / A4SM
  Archive for Self-supervised learning in Medical images (A4SM).
  ☆58Updated 2 years ago
• RSNA / AI-Deep-Learning-Lab-2023
  ☆40Updated last year
• suinleelab / MONET
  Transparent medical image AI via an image–text foundation model grounded in medical literature
  ☆63Updated 3 months ago
• RichardObi / medigan
  medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
  ☆151Updated 7 months ago
• project-lighter / lighter
  Streamline deep learning experiments using config files
  ☆44Updated this week
• primakov / precision-medicine-toolbox
  Precision medicine toolbox
  ☆68Updated 11 months ago
• ai-med / DAFT
  Dynamic Affine Feature Map Transform
  ☆41Updated 9 months ago
• StanfordMIMI / Comp2Comp
  Computed tomography to body composition (Comp2Comp).
  ☆71Updated 2 months ago
• alibaba-damo-academy / self-supervised-anatomical-embedding-v2
  ☆57Updated last year
• seyuboglu / weakly-supervised-petct
  PyTorch implementation of a multi-task, weak supervision framework for abnormality localization in large, volumetric images.
  ☆22Updated 2 years ago
• Novestars / Neural_Pre_Processing
  Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, sk…
  ☆26Updated last year
• UMEssen / saros-dataset
  Sparsely Annotated Region and Organ Segmentation (SAROS) - A large, heterogeneous, and sparsely annotated segmentation dataset on CT imag…
  ☆46Updated 2 months ago
• jdonnelly36 / AsymMirai
  ☆15Updated last month
• tqxli / self_supervised_learning_in_medical_imaging
  A collection of self-supervised papers in medical imaging.
  ☆39Updated 4 years ago
• smallboy-code / Breast-cancer-dataset
  ☆30Updated last year
• nyukat / mammography_metarepository
  Meta-repository of screening mammography classifiers
  ☆67Updated 2 years ago