samra-irshad Goto Github PK

imgclsmob

Sandbox for training convolutional networks for computer vision

infantseg

introtodeeplearning_labs

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

keras_semantic_segmentation

Fully Convolutional Networks for Semantic Segmentation in Keras

kickstart

Study route for learners in machine learning / deep learning / computer vision

kiu-net-pytorch

Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI

lge_srscn

Source code for "Cardiac Segmentation from LGE MRI Using Deep NeuralNetwork Incorporating Shape and Spatial Priors" paper

m-net

ISBI 2017 paper: M-net

melanoma-recognition

Repository of paper "Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks"

miccai-opensourcepapers

MICCAI 2019 Open Source Papers

miccai17-mmwhs-hybrid

If the code is helpful for your work, please cite our paper "Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing" in STACOM Workshop of MICCAI 2017.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mrbrains18-1

Grand Challenge on MR Brain Segmentation at MICCAI 2018 - MISPL

mrnet

Code for CVPR 2021 paper. "Learning Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling".

msls

mssu-net

This code is for the paper "multi-scale supervised 3D U-Net for kidneys and kidney tumor segmentation".

mtl-segthor

Dependent Multi-Task Learning for the Segmentation of Thoracic Organs at Risk in CT Images

multi-sequence-cardiac-mr-segmentation

multipathbmp

Source code for paper "A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images"

nasunet

nltk

NLTK Source

phiseg-code

Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019

probabilistic-unet-pytorch

A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

pytorch-beginner

pytorch tutorial for beginners

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch-explain-black-box

PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.