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Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction.

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第一作者： Meenakshi Devi,P

第一单位： Department of Information Technology, K.S.R. College of Engineering, Tiruchengode, Tamilnadu, 637215, India.

作者： Meenakshi Devi,P ^[1] ; Muna,A ^[2] ; Yasser,Ali ^[3] ; Sumanth,V ^[4]

作者单位： Department of Information Technology, K.S.R. College of Engineering, Tiruchengode, Tamilnadu, 637215, India. ^[1] Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India. ^[2] Chitkara Centre for Research and Development, Chitkara University, Baddi, Himachal Pradesh, 174103, India. ^[3] Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India. sumanth.v@manipal.edu. ^[4]

关键词 Atrous spatial pyramid pooling Breast cancer diagnosis model Breast cancer diagnosis network Random parameterized adaptive opposition slime mould with egret swarm optimization Ultrasound images

医学主题词人类(Humans);乳腺肿瘤(Breast Neoplasms);女(雌)性(Female);超声检查, 乳房(Ultrasonography, Mammary);算法(Algorithms);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted)

DOI 10.1186/s12880-024-01538-4

PMID 39780045

发布时间 2025-01-11

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