Artificial intelligence algorithms for the diagnosis of urothelial carcinoma based on urine cytology: A noninvasive and efficient diagnostic approach.

Authors

null

Chong Shen

The second hospital of Tianjin Medical University, Tianjin, China

Chong Shen , HaiTao Wang Sr., Hailong Hu , Yuanjie Niu , Dawei Tian , Shiwang Huang , Gangjian Zhao , Chuanyi Huang , Zhouliang Wu , Zhe Zhang

Sign-In to See More Abstracts, Journal Articles, Posters, Videos and Slides and to Bookmark Your Favorite Content.

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Poster Details

Meeting

2022 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Genitourinary Cancer—Kidney and Bladder

Track

Genitourinary Cancer—Kidney and Bladder

Sub Track

Urothelial Cancer - Local-Regional Disease

Citation

J Clin Oncol 40, 2022 (suppl 16; abstr 4590)

DOI

10.1200/JCO.2022.40.16_suppl.4590

Abstract #

4590

Poster Bd #

81

Abstract Disclosures

Similar Posters

Poster

2024 ASCO Genitourinary Cancers Symposium

Exploring the utility of prostate-derived extracellular vesicles as a urine biomarker for clinically significant prostate cancer.

Exploring the utility of prostate-derived extracellular vesicles as a urine biomarker for clinically significant prostate cancer.

First Author: Ekamjit Singh Deol

Poster

2024 ASCO Genitourinary Cancers Symposium

i-Biomarker CaDx: A circulating miRNA-based multi-cancer detection tool with explainable AI for prostate cancer.

i-Biomarker CaDx: A circulating miRNA-based multi-cancer detection tool with explainable AI for prostate cancer.

First Author: Alexandru George Floares

First Author: Alexandru George Floares

First Author: Kin Wai (Tony) Hung