zhang-de-lab / zhang-lab
The Zhang's lab aims to provide a model or GUI of algorithm for example and further studies. ALL of them are used just for research, but not for commercy. And the web are updating consistently. If you have any questions, do not hesitate to contact us! (E-mail: 843155331@qq.com, Zhenyuan Ning; or yuzhang@smu.edu.cn, Yu Zhang)
☆10Updated 4 years ago
Alternatives and similar repositories for zhang-lab:
Users that are interested in zhang-lab are comparing it to the libraries listed below
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆19Updated 4 years ago
- CapSurv: Capsule Network for Survival Analysis With Whole Slide Pathological Images☆10Updated 6 years ago
- ☆14Updated 6 years ago
- A set of codes to classify H&E slides using deep learning☆30Updated 3 years ago
- Pan-cancer tils analysis study by Hongming Xu☆13Updated 4 years ago
- ☆20Updated 2 years ago
- Segmentation of liver computed tomography images with a UNET.☆15Updated 2 years ago
- ☆16Updated 2 years ago
- Radiomics Analysis for Prediction of EGFR Mutations and Ki-67 Proliferation Index in Patients with Non-Small Cell Lung Cancer☆15Updated 2 years ago
- Code and GUI for Feature-driven Local Cell Graph (FLocK): New Computational Pathology based descriptors☆15Updated last year
- Suspicious Regions-Based Whole Slide Image Analysis☆10Updated 2 years ago
- ☆18Updated last year
- Radiopathomics: a framework of fusing multi-scale images information to enrich description of tumor heterogeneity for LARC patients prior…☆20Updated 3 years ago
- Comparison and fusion of deep learning and radiomics features of ground-glass nodules to predict the invasiveness risk of stage-I lung ad…☆17Updated 5 years ago
- SPIE-AAPM-NCI PROSTATEx Challenges-The PROSTATEx Challenge (" SPIE-AAPM-NCI Prostate MR Classification Challenge”) focused on quantitati…☆10Updated 4 years ago
- HCC_Deep_learning☆19Updated 4 years ago
- TCGA BLCA tmb prediction by Hongming Xu☆13Updated 4 years ago
- ☆16Updated 3 years ago
- Some accessible radiomics datas were provided in this link.☆12Updated 3 years ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆35Updated 4 years ago
- This contains codes for inference using trained DeepPET-OPSCC Models☆9Updated 3 years ago
- Submission for MICCAI HACKATHON: https://miccai-hackathon.com/#participate☆12Updated last year
- Re-stained whole slide image alignment☆33Updated last year
- ECCV-AIMIA 2022 paper: "Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images"☆12Updated last year
- Methods for training and interpreting deep radiogenomic neural networks☆14Updated 4 years ago
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- ☆10Updated 2 years ago
- Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.☆22Updated last year
- public repository for "Fully Automated Hybrid Network to Predict IDH Mutation Status of Glioma via Deep Learning and Radiomics"☆2Updated last year
- ☆18Updated 3 years ago