marc-gorriz / KneeOA-CNNAttentionLinks
Assessing Knee OA Severity with CNN attention-based end-to-end architectures
☆18Updated 6 years ago
Alternatives and similar repositories for KneeOA-CNNAttention
Users that are interested in KneeOA-CNNAttention are comparing it to the libraries listed below
Sorting:
- Grading individual knee osteoarthritis features using Deep Learning☆21Updated 4 years ago
- An unsupervised (or self-supervised) loss function for binary image segmentation (TensorFlow)☆71Updated 3 years ago
- Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach☆71Updated 5 months ago
- Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images☆143Updated 4 years ago
- pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full☆63Updated 2 years ago
- Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs☆14Updated last year
- Segmentation of prostate from MRI scans☆44Updated 4 years ago
- Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.☆145Updated 3 years ago
- My implementation for the MRNet competition hosted by the Stanford ML group☆39Updated 6 years ago
- ☆170Updated 3 years ago
- Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation☆49Updated 3 weeks ago
- Segmentation Guided Thoracic Classification☆51Updated 5 years ago
- This repository aims at containing all the code employed at LIVIA to segment medical images. Mainly, our research focuses on bringind the…☆56Updated 7 years ago
- Volumetric MRI brain tumor segmentation using autoencoder regularization☆48Updated 2 years ago
- A loss function (Weighted Hausdorff Distance) for object localization in PyTorch☆92Updated 7 years ago
- Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data☆82Updated 3 years ago
- Automatic tool for landmark localisation in 3D medical images☆55Updated 6 years ago
- ☆85Updated 5 years ago
- code for paper Attention-based CNN for KL Grade Classification: Data from the Osteoarthritis Initiative☆13Updated 3 years ago
- Brain tumor segmentation using a 3D UNet CNN☆114Updated 5 years ago
- Combining Faster R-CNN and U-net for efficient medical image segmentation☆146Updated 3 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for Semantic Genesis - MICCAI 2020☆82Updated 3 years ago
- PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TE…☆45Updated 3 years ago
- Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)☆90Updated 7 years ago
- Skull stripping and brain tissue segmentation☆122Updated 6 years ago
- ☆90Updated 7 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 6 months ago
- Keras w/ Tensorflow backend implementation for 3D channel-wise convolutions☆67Updated 5 years ago
- Multi-Planar UNet for autonomous segmentation of 3D medical images☆193Updated last year
- This is the official Pytorch implementation of "Lung Segmentation from Chest X-rays using Variational Data Imputation", Raghavendra Selva…☆44Updated 2 years ago