Borda / kaggle_vol-3D-classifyLinks
Predict the status of a genetic biomarker important for brain cancer treatment
☆38Updated last month
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☆179Updated last year
- Meta-repository of screening mammography classifiers☆70Updated 3 years ago
- PyTorch Volume Models for 3D data☆67Updated last month
- An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization☆181Updated last year
- Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis☆46Updated 3 years ago
- Extension to fastai for volumetric medical data☆33Updated 2 years ago
- Lung segmentation for chest X-Ray images☆130Updated 2 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for TransVW☆63Updated 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
- Web-based app for labeling DICOM files in Python.☆21Updated 2 years ago
- A PyTorch implementation of EfficientNet☆175Updated 2 years ago
- Material for the 2020 MONAI Bootcamp☆65Updated 4 years ago
- 1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-…☆86Updated last year
- Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments☆51Updated 5 months ago
- Materials for the 2021 MONAI Bootcamp☆109Updated 3 years ago
- ☆75Updated last month
- Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021☆81Updated 3 years ago
- ☆51Updated last year
- A grid sampler for larger-than-memory N-dimensional images☆26Updated last year
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆57Updated 2 years ago
- Official Implementation of ECONet: Efficient Convolutional Online Likelihood Network for Interactive Segmentation☆18Updated 2 years ago
- Library for 3D augmentations☆253Updated 10 months ago
- Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…☆62Updated 3 years ago
- Set of models for segmentation of 3D volumes☆135Updated last year
- Large Covid-19 CT scans dataset from the paper: https://doi.org/10.1016/j.bspc.2021.102588☆87Updated 4 years ago
- 3D volume data augmentation package inspired by albumentations☆81Updated 5 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
- Benchmarking toolkit for patch-based histopathology image classification.☆41Updated 2 years ago
- COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations☆158Updated 3 years ago