A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction-Reference-Cited by-同舟云学术

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A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction

Published:2022-04 Issue: Volume:126 Page:102260
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Tan Kaiwen,Huang Weixian,Liu Xiaofeng,Hu Jinlong,Dong Shoubin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference47 articles.

1. Deep neural network models for computational histopathology: a survey;Srinidhi;Med Image Anal,2021

2. Pan-renal cell carcinoma classification and survival prediction from histopathology images using deep learning;Tabibu;Sci Rep,2019

3. Deep learning-based survival prediction for multiple cancer types using histopathology images;Wulczyn;PLOS ONE,2020

4. Visually meaningful histopathological features for automatic grading of prostate cancer;Niazi;IEEE J Biomed Health Inform,2017

5. Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features;Wan;Neurocomputing,2017

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