imedslab / KNEELLinks
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
☆50Updated this week
Alternatives and similar repositories for KNEEL
Users that are interested in KNEEL are comparing it to the libraries listed below
Sorting:
- [IEEE JBHI'21] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!☆170Updated last year
- pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full☆63Updated 3 years ago
- Official Keras & PyTorch Implementation and Pre-trained Models for Semantic Genesis - MICCAI 2020☆83Updated 4 years ago
- Skull stripping and brain tissue segmentation☆121Updated 6 years ago
- Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs☆14Updated 2 years ago
- iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. By Guilherme Aresta, Colin Jacobs, Teresa Araújo…☆18Updated 7 years ago
- pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis☆61Updated last year
- Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation☆79Updated 6 years ago
- Volumetric MRI brain tumor segmentation using autoencoder regularization☆48Updated 2 years ago
- Implementation of "Practical Window Setting Optimization for Medical Image Deep learning"☆42Updated 5 years ago
- [MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network☆93Updated 3 years ago
- This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MI…☆52Updated 3 years ago
- Official code for "Oneshot Medical Landmark Detection' (MICCAI 2021 early accepted)☆54Updated 2 years ago
- An example project of how to use a U-Net for segmentation on medical images with PyTorch.☆152Updated last year
- Whole Heart Segmentation☆31Updated 5 years ago
- Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification☆46Updated 5 years ago
- MICCAI 2020 RibFrac Challenge: Rib Fracture Detection and Classification (3D Instance Segmentation)☆54Updated 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…☆99Updated 4 years ago
- Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images☆146Updated 5 years ago
- The implementation of 3D-UNet using PyTorch☆101Updated 10 months ago
- A tool to do quick and dirty inspection of multichannel 3D data. I use it mainly to visualize batches for deep learning.☆53Updated 11 months ago
- Tutorial about combining PyTorch and NiftyNet for deep learning and medical image computing☆14Updated 6 years ago
- A complete pipeline for BraTS 2020☆56Updated 3 years ago
- MRI Brain Tumor Segmentation - BraTS Challenge 2020☆50Updated 4 years ago
- VNet for 3d volume segmentation☆43Updated 4 years ago
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆116Updated 2 years ago
- Implementation code for "Lung Nodule Detection and Classification from Thorax CT-Scan Using RetinaNet with Transfer Learning" (2020)☆34Updated 7 months ago
- An unsupervised (or self-supervised) loss function for binary image segmentation (TensorFlow)☆71Updated 4 years ago
- COVID-19 Pneumonia Lesion segmentation network☆87Updated 4 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