Alternatives and similar repositories for Radiopathomics-pCR-nCRT:

Users that are interested in Radiopathomics-pCR-nCRT are comparing it to the libraries listed below

• Cassie07 / Review_Molecular_profile_prediction_GNN
  [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…
  ☆26Updated last year
• AGFoersch / MultiStainDeepLearning
  Code from Foersch et al. (Under Construction / Development)
  ☆36Updated last year
• liupei101 / DSCA
  [ESWA 2023] Implementation of DSCA: A Dual-stream Network with Cross-attention on Whole-Slide Image Pyramids for Cancer Prognosis
  ☆22Updated 11 months ago
• SBU-BMI / quip_cancer_segmentation
  ☆16Updated 2 years ago
• Biooptics2021 / PathFinder
  ☆50Updated last year
• cuicathy / MMD_SurvivalPrediction
  Code and data for MICCAI 2022 accepted paper: Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Dem…
  ☆19Updated last year
• hrlblab / CS-MIL
  ☆49Updated 2 months ago
• MungoMeng / Survival-DeepMTS
  DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation
  ☆28Updated 6 months ago
• isfj / GPDBN
  ☆10Updated 4 years ago
• wangxiaodong1021 / HCC_Prognostic
  Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning
  ☆42Updated 4 years ago
• KatherLab / dl-mri
  Deep Learning MRI image analysis
  ☆41Updated 2 years ago
• Zlz-shoulder / CPTDN
  ☆12Updated 3 years ago
• agentdr1 / LA_MIL
  Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch
  ☆25Updated last year
• kmboehm / orpheus
  ☆10Updated last month
• MHMAILab / auto_lymph
  Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning
  ☆36Updated 4 years ago
• chestrad / survival_prediction
  ☆13Updated 4 years ago
• AIRMEC / HECTOR
  Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.
  ☆38Updated 3 months ago
• zihou98 / PMIL
  Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images
  ☆27Updated last year
• MedAI-Vision / MedAI-Brain-MB
  ☆10Updated 8 months ago
• PathologyDataScience / HiPS
  Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis
  ☆24Updated 11 months ago
• fuscc-deep-path / sc_MTOP
  sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…
  ☆29Updated 4 months ago
• sdw95927 / Ceograph
  CEll spatial Organization-based graph convolutional network
  ☆24Updated last year
• wenqi006 / SlideGraph
  ☆52Updated 3 years ago
• yoonchoi-neuro / automated_hybrid_IDH
  public repository for "Fully Automated Hybrid Network to Predict IDH Mutation Status of Glioma via Deep Learning and Radiomics"
  ☆2Updated last year
• DataX-JieHao / PAGE-Net
  A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data
  ☆19Updated 4 years ago
• AI4SCR / VirtualMultiplexer
  A generative toolkit to translate H&E images to multiplexed IHC
  ☆38Updated 3 months ago
• vqdang / H2T
  ☆35Updated 2 years ago
• liupei101 / AdvMIL
  [MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
  ☆33Updated last year
• modelhub-ai / deep-prognosis
  ☆14Updated 6 years ago
• xiawei999000 / GBM_PCNSL_CNN_modeling
  Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-parametric MRI base…
  ☆14Updated 4 years ago