回复关于“CAM-QUS引导的具有多损失函数的自调谐模块化cnn用于超声图像中乳房病变的全自动分类”的评论。

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/ada7bf
Md Kamrul Hasan, Jarin Tasnim
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Reply to Comment on 'CAM-QUS guided self-tuning modular CNNs with multi-loss functions for fully automated breast lesion classification in ultrasound images'.
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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
期刊最新文献
Feasibility of proton ultra-high-dose-rate spatially fractionated radiotherapy system for preclinical experiments on a compact proton synchrocyclotron. Comparison of physical approaches to inter-crystal scattering in a staggered-layer scintillation PET detector: a simulation study. Proof of concept for full-waveform inversion in ultrasound time-harmonic shear-wave elastography. Retrofitting a clinical pencil beam scanning proton therapy unit for 2D ultra-high dose rate scanning. Enhanced tissue harmonic ultrasound with a stack-layer dual-frequency transducer.
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