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
Related projects ⓘ
Alternatives and complementary repositories for zhang-lab
- 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 5 years ago
- Color Deconvolution for quantification of histological staining☆10Updated 5 years ago
- ☆15Updated 2 years ago
- Radiomics Analysis for Prediction of EGFR Mutations and Ki-67 Proliferation Index in Patients with Non-Small Cell Lung Cancer☆13Updated 2 years ago
- Pan-cancer tils analysis study by Hongming Xu☆13Updated 4 years ago
- ☆14Updated 5 years ago
- A set of codes to classify H&E slides using deep learning☆28Updated 2 years ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆32Updated 3 years ago
- ☆20Updated 2 years ago
- ECCV-AIMIA 2022 paper: "Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images"☆12Updated last year
- Survival Convolutional Neural Networks☆68Updated last year
- ☆18Updated 7 months ago
- Code and GUI for Feature-driven Local Cell Graph (FLocK): New Computational Pathology based descriptors☆15Updated last year
- Re-stained whole slide image alignment☆31Updated last year
- ☆11Updated 5 years ago
- Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.☆24Updated 4 years ago
- HCC_Deep_learning☆18Updated 4 years ago
- Methods for training and interpreting deep radiogenomic neural networks☆13Updated 4 years ago
- ☆15Updated 3 years ago
- TCGA BLCA tmb prediction by Hongming Xu☆13Updated 4 years ago
- Handling whole-slide images with region-level annotations.☆9Updated 5 years ago
- Segmentation of liver computed tomography images with a UNET.☆14Updated last year
- Interactive deep learning whole-cell segmentation and thresholding using partial annotations☆34Updated 2 weeks ago
- Data and code to accompany our Nature publication☆43Updated 2 years ago
- A neural network software for using Molecular labelling to improve pathological annotation of H and E tissues☆29Updated last year
- Submission for MICCAI HACKATHON: https://miccai-hackathon.com/#participate☆12Updated last year
- Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area☆49Updated 3 years ago
- Digital Pathology Whole Slide Image Analysis Toolbox☆48Updated last year