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grad-cam-pytorch

PyTorch implementation of Grad-CAM

h-denseunet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

hd-bet

MRI brain extraction tool

home-assignment

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

imageclassification-pytorch

img_classification_pk_pytorch

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

improved-body-parts

Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

intensity-normalization

normalize the intensities of various MR image modalities

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

kapowskichronicles

Gentlemen, this is democracy manifest.

kits19

The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

kits19-challege

KiTS19——2019 Kidney Tumor Segmentation Challenge

kits19-challenge

Kidney Tumor Segmentation Challenge 2019

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

mahalanobisad-pytorch

PyTorch implementation of "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection"

mama_net_pytorch

matwo-capsnet

Original implementation of the MICCAI 2019 Paper "Matwo-CapsNet: a Multi-Label Semantic Segmentation Capsules Network".

mcmedhacks_mris-and-gans

medical_transformers

Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"

memae

unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Anomaly Detection

memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

meshcnn

Convolutional Neural Network for 3D meshes in PyTorch

meshcnn_tutorial

This tutorials goes deep into the details of the why and how of the seminal paper - MeshCNN. You will find all the details including the ones not explained in the research paper.

meshio

:spider_web: input/output for many mesh formats

meshnet

MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)

meshpooling

Code for 'Mesh Variational Autoencoders with Edge Contraction Pooling'

meshprocessing

Convert binary map to mesh. The binary map is in nifti format and the mesh is in stl file type.

mmdetection

Open MMLab Detection Toolbox and Benchmark

mnad

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.