CADxPolydetect: a clinically explainable hybrid deep learning system for multi-class colorectal lesion detection using augmented colonoscopy images.

IF 3.8 3区医学 Q2 MEDICAL INFORMATICS

BMC Medical Informatics and Decision Making Pub Date : 2025-09-26 DOI:10.1186/s12911-025-03176-4

Akella S Narasimha Raju, Shaik Jakeer Hussain, M Rajababu, Ranjith Kumar Gatla, K Venkatesh, Venkataramana Guntreddi

引用次数: 0

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CADxPolydetect：一个临床可解释的混合深度学习系统，用于使用增强结肠镜图像进行多类别结直肠病变检测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC Medical Informatics and Decision Making 医学-医学：信息

CiteScore

7.20

自引率

5.70%

发文量

297

审稿时长

1 months

期刊介绍： BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.