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”。

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

摘要

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

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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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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