Borda / kaggle_vol-3D-classifyLinks
Predict the status of a genetic biomarker important for brain cancer treatment
☆39Updated this week
Alternatives and similar repositories for kaggle_vol-3D-classify
Users that are interested in kaggle_vol-3D-classify are comparing it to the libraries listed below
Sorting:
- EfficientNets in 3D variant for keras and TF.keras☆54Updated 3 years ago
- Set of models for classifcation of 3D volumes☆183Updated last year
- Meta-repository of screening mammography classifiers☆71Updated 3 years ago
- Lung segmentation for chest X-Ray images☆131Updated 2 years ago
- An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization☆181Updated last year
- Extension to fastai for volumetric medical data☆34Updated 2 years ago
- COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations☆158Updated 3 years ago
- PyTorch Volume Models for 3D data☆73Updated last month
- A PyTorch implementation of EfficientNet☆177Updated 2 years ago
- Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis☆47Updated 3 years ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆79Updated 2 years ago
- Set of models for segmentation of 3D volumes☆135Updated last year
- Materials for the 2021 MONAI Bootcamp☆109Updated 3 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for TransVW☆63Updated 3 years ago
- Library for 3D augmentations☆256Updated 11 months ago
- Material for the 2020 MONAI Bootcamp☆64Updated 4 years ago
- 3D volume data augmentation package inspired by albumentations☆81Updated 5 years ago
- A generalizable application framework for segmentation, regression, and classification using PyTorch☆186Updated last month
- ☆164Updated 3 years ago
- ☆76Updated last month
- ☆50Updated 2 years ago
- Winners of the TissueNet: Detect Lesions in Cervical Biopsies competition☆21Updated 2 years ago
- Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments☆51Updated 6 months ago
- Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)☆135Updated 4 years ago
- Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021☆80Updated 3 years ago
- A grid sampler for larger-than-memory N-dimensional images☆26Updated last year
- Implementation of "Practical Window Setting Optimization for Medical Image Deep learning"☆42Updated 5 years ago
- Code for our paper SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation. https://arxiv.org/pdf/2001.07645v3.pdf pub…☆98Updated 4 years ago
- PyTorch implementation of the MRNet paper, developed for the MRNet Competition hosted by the Stanford ML Group☆52Updated 6 years ago
- Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings o…☆98Updated 4 years ago