nyukat / GMICLinks
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
☆180Updated 11 months ago
Alternatives and similar repositories for GMIC
Users that are interested in GMIC are comparing it to the libraries listed below
Sorting:
- High-resolution breast cancer screening with multi-view deep convolutional neural networks☆158Updated 7 years ago
- Meta-repository of screening mammography classifiers☆68Updated 2 years ago
- 3D-GMIC: an efficient deep neural network to find small objects in large 3D images☆30Updated 2 years ago
- Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis☆46Updated 2 years ago
- Open source lung ultrasound (LUS) data collection initiative for COVID-19.☆163Updated 2 months ago
- ☆324Updated 2 years ago
- Differences between human and machine perception in medical diagnosis☆33Updated 3 years ago
- A tool to do quick and dirty inspection of multichannel 3D data. I use it mainly to visualize batches for deep learning.☆51Updated 5 months ago
- ☆192Updated 3 years ago
- Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)☆133Updated 4 years ago
- Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN …☆34Updated 4 years ago
- Set of models for classifcation of 3D volumes☆176Updated last year
- pytorch dataset class for reading and transforming NIfTI files☆63Updated 3 years ago
- All credit goes to the authors listed at https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002699☆33Updated 6 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for TransVW☆63Updated 3 years ago
- medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis☆166Updated 11 months ago
- DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection☆114Updated 2 years ago
- Valencia Region Image Bank (BIMCV) that combines data from the PadChest dataset with future datasets based on COVID-19 pathology to provi…☆129Updated 2 years ago
- My implementation for the MRNet competition hosted by the Stanford ML group☆38Updated 6 years ago
- Multi-Planar UNet for autonomous segmentation of 3D medical images☆191Updated last year
- Materials for the 2021 MONAI Bootcamp☆109Updated 3 years ago
- DeepLearning - Camelyon16 dataset☆122Updated 6 years ago
- An example project of how to use a U-Net for segmentation on medical images with PyTorch.☆145Updated 11 months ago
- CNN implementation for medical X-Ray image segmentation☆97Updated 2 years ago
- [IEEE JBHI'21] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!☆167Updated last year
- A Benchmark for Lung and Infection Segmentation in COVID-19 CT scans☆146Updated 3 years ago
- Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images☆143Updated 4 years ago
- Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019☆128Updated 2 years ago
- Lung segmentation for chest X-Ray images☆127Updated 2 years ago
- ☆35Updated last year