Alternatives and similar repositories for SurvivalNet

Users that are interested in SurvivalNet are comparing it to the libraries listed below

• PathologyDataScience / SCNN
  Survival Convolutional Neural Networks
  ☆67Updated 2 years ago
• huangzhii / SALMON
  SALMON: Survival Analysis Learning with Multi-Omics Neural Networks
  ☆66Updated last year
• lanagarmire / cox-nnet
  ☆47Updated 8 years ago
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆94Updated last year
• liupei101 / TFDeepSurv
  COX Proportional risk model and survival analysis implemented by tensorflow.
  ☆106Updated 4 years ago
• robi56 / Survival-Analysis-using-Deep-Learning
  This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
  ☆221Updated 2 years ago
• luisvalesilva / wsipre
  Handling whole-slide images with region-level annotations.
  ☆10Updated 7 years ago
• jgamper / compay-syntax
  Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
  ☆55Updated 3 years ago
• traversc / cox-nnet
  ☆37Updated 8 years ago
• ahmedmalaa / AutoPrognosis
  Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
  ☆56Updated 5 years ago
• Path-AI / hif2gene
  Data and code to accompany our Nature publication
  ☆48Updated 3 years ago
• mexchy1000 / DeepSurv_Keras
  DeepSurv code for keras
  ☆23Updated 9 years ago
• DataX-JieHao / Cox-PASNet
  Pathway-based sparse deep neural network for survival analysis
  ☆40Updated 2 years ago
• PathologyDataScience / HistomicsML
  An interactive machine learning framework for large histopathology images.
  ☆21Updated 2 years ago
• yandexdataschool / roc_comparison
  The fast version of DeLong's method for computing the covariance of unadjusted AUC.
  ☆163Updated 4 months ago
• javadnoorb / HistCNN
  A set of codes to classify H&E slides using deep learning
  ☆29Updated 3 years ago
• cooperlab / TCGAIntegrator
  Python utilities for building integrated views of TCGA data.
  ☆32Updated 7 years ago
• btcrabb / SlideSeg
  A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.
  ☆80Updated 3 years ago
• jlevy44 / PathFlowAI
  A High-Throughput Workflow for Preprocessing, Deep Learning Analytics and Interpretation in Digital Pathology
  ☆42Updated 3 years ago
• gevaertlab / MultimodalPrognosis
  Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction
  ☆89Updated 6 years ago
• lilizhaoUM / DNNSurv
  ☆19Updated 5 years ago
• gerstung-lab / PC-CHiP
  Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
  ☆77Updated 5 years ago
• keiserlab / plaquebox-paper
  Repo for Tang et al, bioRxiv 454793 (2018)
  ☆43Updated 6 years ago
• zhaoxuanma / Deeplearning-digital-pathology
  Full package for applying deep learning to virtual slides.
  ☆72Updated 7 years ago
• jnkather / deep-stroma-histology
  Convolutional neural networks for extracting a "deep stroma score" from histological images of human cancer
  ☆17Updated 5 years ago
• clinicalml / deepDiagnosis
  A torch package for learning diagnosis models from temporal patient data.
  ☆116Updated 8 years ago
• stanfordmlgroup / DLBCL-Morph
  DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep …
  ☆39Updated 5 years ago
• jnkather / MSIfromHE
  predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer
  ☆102Updated 6 years ago
• jysonganan / DeepLearningSurvival
  PyTorch implementation of Deep Survival Models.
  ☆18Updated 8 years ago
• SBU-BMI / quip_distro
  ☆32Updated last year