modelhub-ai / deep-prognosis
☆14Updated 5 years ago
Alternatives and similar repositories for deep-prognosis:
Users that are interested in deep-prognosis are comparing it to the libraries listed below
- ☆15Updated 3 years ago
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆19Updated 4 years ago
- public repository for "Fully Automated Hybrid Network to Predict IDH Mutation Status of Glioma via Deep Learning and Radiomics"☆2Updated last year
- DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation☆28Updated 4 months ago
- ☆13Updated 4 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
- Some accessible radiomics datas were provided in this link.☆12Updated 3 years ago
- Folder corresponding to 2017 summer project at MD Anderson Cancer Center.☆12Updated 5 years ago
- ☆13Updated 3 years ago
- Radiopathomics: a framework of fusing multi-scale images information to enrich description of tumor heterogeneity for LARC patients prior…☆21Updated 3 years ago
- Codes used for the paper "Precise 3D CT-Radiomics for Habitat Computation by Machine Learning in Cancer with Histological and MRI correla…☆21Updated 8 months ago
- Code and data for MICCAI 2022 accepted paper: Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Dem…☆18Updated 11 months ago
- Multi-TransSP for MICCAI2022☆18Updated 2 years ago
- Deep learning for mortality prediction from low-dose CT images☆12Updated 4 years ago
- MRI-based Deep Learning Segmentation and Radiomics of Sarcoma Tumors in Mice☆15Updated last year
- Late AMD progression classification using fundus images and genotypes☆23Updated last year
- Code and GUI for Feature-driven Local Cell Graph (FLocK): New Computational Pathology based descriptors☆15Updated last year
- ☆10Updated 3 years ago
- Radiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection…☆41Updated 3 years ago
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- SPIE-AAPM-NCI PROSTATEx Challenges-The PROSTATEx Challenge (" SPIE-AAPM-NCI Prostate MR Classification Challenge”) focused on quantitati…☆10Updated 4 years ago
- AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction☆12Updated last month
- ☆15Updated 2 years ago
- Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer☆24Updated 9 months ago
- ☆15Updated 8 months ago
- This contains codes for inference using trained DeepPET-OPSCC Models☆9Updated 3 years ago
- ☆10Updated 7 months ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆35Updated 3 years ago
- ☆22Updated 2 years ago
- ☆14Updated 4 years ago