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:
- Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach☆76Updated 10 months ago
- Segmentation Guided Thoracic Classification☆51Updated 5 years ago
- An unsupervised (or self-supervised) loss function for binary image segmentation (TensorFlow)☆71Updated 4 years ago
- Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images☆145Updated 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 8 years ago
- Grading individual knee osteoarthritis features using Deep Learning☆21Updated 5 years ago
- Automatic tool for landmark localisation in 3D medical images☆55Updated 7 years ago
- Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.☆15Updated 7 years ago
- Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation☆50Updated 2 weeks ago
- Segmentation of prostate from MRI scans☆44Updated 4 years ago
- ☆171Updated 4 years ago
- ICVGIP' 18 Oral Paper - Classification of thoracic diseases on ChestX-Ray14 dataset☆46Updated 4 years ago
- A tool to do quick and dirty inspection of multichannel 3D data. I use it mainly to visualize batches for deep learning.☆53Updated 10 months ago
- Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs☆14Updated 2 years ago
- This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenario…☆150Updated 6 years ago
- This is a repository containing code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" publish…☆220Updated 8 months ago
- Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.☆145Updated 3 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☆93Updated 7 years ago
- My implementation for the MRNet competition hosted by the Stanford ML group☆40Updated 6 years ago
- Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data☆84Updated 4 years ago
- Combining Faster R-CNN and U-net for efficient medical image segmentation☆146Updated 4 years ago
- MRI medical image segmentation☆172Updated 4 years ago
- [IEEE JBHI'21] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!☆170Updated last year
- Skull stripping and brain tissue segmentation☆121Updated 6 years ago
- IPMI2019 paper - Melanoma Recognition via Visual Attention☆47Updated 3 years ago
- Brain tumor segmentation using a 3D UNet CNN☆114Updated 6 years ago
- Lung fields segmentation on CXR images using convolutional neural networks.☆175Updated 5 years ago
- Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation☆79Updated 6 years ago
- pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full☆63Updated 3 years ago