deepmd-production Goto Github PK

kaggle_rsna_breast_cancer

1st place of Kaggle's RSNA Screening Mammography Breast Cancer Detection competition

lca-code

LiverCancerAssistant

lca-data

Captured Dataset for LiverCancerAssistant publication

lesion-tracking

livercancerseg

MICCAI 2019 Grand Challenge for Pathology - PAIP2019: Liver Cancer Segmentation

mammo-imp

🎗

med3web

Med3Web is a high performance web tool for advanced 2-D and 3-D medical visualizations.

medical-imaging-datasets

A list of Medical imaging datasets.

mhcflurry

Peptide-MHC I binding affinity prediction

mirai

Mirai: Mammography-based model for breast cancer risk

mri_ai

This repository contains code that was used to train and evaluate deep learning models, as described in the article "Improving breast cancer diagnostics with artificial intelligence for MRI" by Jan Witowski et al.

nifti2dicom

paccmann_predictor

PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction prediction

pathomicfusion

Fusing Histology and Genomics via Deep Learning - IEEE TMI

pns-net

2021-MICCAI-Progressively Normalized Self-Attention Network for Video Polyp Segmentation

polyp-pvt

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers, AIR 2023.

prostate_lesion_detection

Model for the detection, segmentation, and classification of prostate lesions from mpMRI, using ProstateX data and Retina U-Net

pynetmhcpan

A simple tool for using NetMHCpan and NetMHCIIpan using multiple CPUs in a Python environment.

riesz-plugin

robot-surgery-segmentation

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

rsna-resnet10

spinalcordtoolbox

Comprehensive and open-source library of analysis tools for MRI of the spinal cord.

sunet-architecture

SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI

template-builder

vps-polyp-seg

Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"

wsisegmentation

Segmenting WSIs using Deep Convolutional Neural Networks