MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features-Reference-Cited by-同舟云学术

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MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features

Published:2023-12-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Liu Mingxin¹,Liu Yunzan¹,Cui Hui²,Li Chunquan³,Ma Jiquan¹

Affiliation:

1. Heilongjiang University,Department of Computer Science and Technology,Harbin,China

2. La Trobe University,Department of Computer Science and Information Technology,Melbourne,Australia

3. University of South China,Institute of Cardiovascular Disease, Hengyang Medical School,The First Affiliated Hospital,Hengyang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385897.pdf?arnumber=10385897

Reference25 articles.

1. Semi-Supervised Methods to Predict Patient Survival from Gene Expression Data

2. Multiple Instance Learning with Mixed Supervision in Gleason Grading

3. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

4. Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks

5. Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis Using Histopathological Images;IEEE Transactions on Medical Imaging;2024-08

2. Unleashing the Infinity Power of Geometry: A Novel Geometry-Aware Transformer (Goat) for Whole Slide Histopathology Image Analysis;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

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