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miccai2019-opensourcepapers

MICCAI 2019 Open Source Papers

mlf-sc

Anomaly detection method that incorporates multi-scale features to sparse coding

mmdetection

Open MMLab Detection Toolbox

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

monai

AI Toolkit for Healthcare Imaging

ms-net

[TMI'20] Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data

mtlc-net

MTLC-Net

multi-scale-attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

multi-scale-class-activation-map-tensorflow

Weakly Supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images

multiplanarunet

Multi-Planar UNet for autonomous segmentation of 3D medical images

mvtec-anomaly-detection

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

ncrf

Cancer metastasis detection with neural conditional random field (NCRF)

netdissect-lite

Light version of Network Dissection for Quantifying Interpretability of Networks

niftynet

An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

nmi-wsi-diagnosis

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

nmt

TensorFlow Neural Machine Translation Tutorial

nnunet

nodulenet

[MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation

nu_gan

unsupervised cell-level visual representation learning

nuclear_segmentation

nuclei_segmentation_experiments_demo

Overlapping nuclei segmentation using Deep Interval-Masker-Aware Networks and Marker-controlled Watershed

nucleisegmentation

This is the source code for training and testing a three class CNN for nuclei segmentation using Torch

nucleisegmentation-1

cGAN-based Multi Organ Nuclei Segmentation

obelisk

MIDL 2018: one binary extremely large and inflecting sparse kernel (pytorch)

ocgan

oct-annotation-tool

oct-biomarker-segmentation

Source code: Deep learning framework (RASP-Net) for segmentation and quantification of chorioretinal biomarkers in OCT scans

oct-converter

Extract the raw optical coherence tomography (OCT) and fundus data from proprietary file formats.

oct-lasagne

Tool for the surface annotation of retinal Optical Coherence Tomography (OCT) volumes

octave

Implementation for OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation (IEEE Transactions on Biomedical Engineering))