Based on deep feature extraction non-invasive bladder cancer prediction system-Reference-Cited by-同舟云学术

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Based on deep feature extraction non-invasive bladder cancer prediction system

Published:2024-05-17 Issue: Volume: Page:219-223
ISSN:
Container-title:Proceedings of the 2024 8th International Conference on Medical and Health Informatics
language:
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Author:

Lin Shih-Huan¹^ORCID,Chuang Min-Ling²^ORCID,Xu Ya-Wen³^ORCID,Chu Yen-Wei³^ORCID

Affiliation:

1. Doctoral Program in Medical Biotechnology, National Chung Hsing University, Taiwan

2. Department of Pathology, Feng Yuan Hospital, Ministry of Health and Welfare, Taiwan

3. Graduate Institute of Genomics and Bioinformatics, National Chung Hsing University, Taiwan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673971.3674013

Reference13 articles.

1. "Bladder cancer statistics | World Cancer Research Fund International," WCRF International. Accessed: Jan. 06, 2024. [Online]. Available: https://www.wcrf.org/cancer-trends/bladder-cancer-statistics/

2. "Bladder Cancer: Signs, Symptoms, Causes, and Treatment," Verywell Health. Accessed: Jan. 06, 2024. [Online]. Available: https://www.verywellhealth.com/bladder-cancer-7255042

3. Diagnostic Classification of Cystoscopic Images Using Deep Convolutional Neural Networks

4. A Comparative Study of Deep Neural Networks for Real-Time Semantic Segmentation during the Transurethral Resection of Bladder Tumors

5. Machine Learning in Prediction of Bladder Cancer on Clinical Laboratory Data

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