Comment on 'CAM-QUS guided self-tuning modular CNNs with multi-loss functions for fully automated breast lesion classification in ultrasound images'.

IF 3.4 3区 医学 Q2 ENGINEERING, BIOMEDICAL Physics in medicine and biology Pub Date : 2025-01-24 DOI:10.1088/1361-6560/ada7bc
Norbert Żołek, Anna Pawłowska
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引用次数: 0

Abstract

An analysis of the methodology used by the authors of the commented article is presented and errors related to data preparation are pointed out.

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评论“CAM-QUS引导的自调谐模块化cnn具有多损失函数,用于超声图像中乳房病变的全自动分类”。
对评论文章的作者所使用的方法进行了分析,并指出了与数据准备有关的错误。
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
Physics in medicine and biology
Physics in medicine and biology 医学-工程:生物医学
CiteScore
6.50
自引率
14.30%
发文量
409
审稿时长
2 months
期刊介绍: The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry
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