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Hybrid convolutional neural network and bi-LSTM model with EfficientNet-B0 for high-accuracy breast cancer detection and classification.

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第一作者： Umesh Kumar,Lilhore

第一单位： Department of CSE, School of Computing Science and Engineering, Galgotias University, Greater Noida, UP, India.

作者： Umesh Kumar,Lilhore ^[1] ; Yogesh Kumar,Sharma ^[2] ; Brajesh Kumar,Shukla ^[3] ; Muniraju Naidu,Vadlamudi ^[4] ; Sarita,Simaiya ^[5] ; Roobaea,Alroobaea ^[6] ; Majed,Alsafyani ^[6] ; Abdullah M,Baqasah ^[7]

作者单位： Department of CSE, School of Computing Science and Engineering, Galgotias University, Greater Noida, UP, India. ^[1] Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, 522302, Andhra Pradesh, India. ^[2] Department: Computer Engineering and Application, GLA University, Mathura, 281406, UP, India. ^[3] Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Bowrampet, Hyderabad, 520002, India. ^[4] Department of CSE, School of Computing Science and Engineering, Galgotias University, Greater Noida, UP, India. saritasimaiya@gmail.com.;Arba Minch University, Arba, Minch, Ethiopia. saritasimaiya@gmail.com. ^[5] Department of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif, 21944, Saudi Arabia. ^[6] Department of Information Technology, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia. ^[7]

关键词 Breast Cancer prediction CNN-BiLSTM model; Adam optimization Precision medicine; medical imaging Transfer learning

医学主题词乳腺肿瘤(Breast Neoplasms);人类(Humans);女(雌)性(Female);乳房X线摄影术(Mammography);算法(Algorithms)

DOI 10.1038/s41598-025-95311-4

PMID 40204759

发布时间 2025-04-15

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