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

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第一作者： Jarin,Tasnim

第一单位： Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka 1205, Bangladesh.

作者： Jarin,Tasnim ^[1] ; Md Kamrul,Hasan ^[1]

作者单位： Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka 1205, Bangladesh. ^[1]

关键词 activation maximization adaptive enhancement breast ultrasound image class activation map computer-aided diagnosis convolutional neural networks quantitative ultrasound

医学主题词女(雌)性(Female);人类(Humans);乳房(Breast);超声检查(Ultrasonography);乳腺肿瘤(Breast Neoplasms);超声检查, 乳房(Ultrasonography, Mammary)

DOI 10.1088/1361-6560/ad1319

PMID 38056017

发布时间 2025-12-19

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Physics in medicine and biology

2023年69卷1期

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

Physics in medicine and biology

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Physics in medicine and biology

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

Physics in medicine and biology

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Physics in medicine and biology

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