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Enhanced Multi-Class Breast Cancer Classification from Whole-Slide Histopathology Images Using a Proposed Deep Learning Model.

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第一作者： Adnan,Rafiq

第一单位： Department of Computer Science & IT, Superior University, Lahore 54000, Pakistan.

作者： Adnan,Rafiq ^[1] ; Arfan,Jaffar ^[1] ; Ghazanfar,Latif ^[2] ; Sohail,Masood ^[1] ; Sherif E,Abdelhamid ^[3]

作者单位： Department of Computer Science & IT, Superior University, Lahore 54000, Pakistan. ^[1] Department of Computing Science, Thompson Rivers University, Kamloops, BC V2C 0C8, Canada.;Department of Computer Science, Prince Mohammad Bin Fahd University, Al-Khobar 34754, Saudi Arabia. ^[2] Department of Computer and Information Sciences, Virginia Military Institute, Lexington, VA 24450, USA. ^[3]

关键词 breast cancer classification deep features deep learning deep neural network densenet121 different magnification levels histopathology images

DOI 10.3390/diagnostics15050582

PMID 40075829

发布时间 2025-03-15

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Enhanced Multi-Class Breast Cancer Classification from Whole-Slide Histopathology Images Using a Proposed Deep Learning Model.

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Enhanced Multi-Class Breast Cancer Classification from Whole-Slide Histopathology Images Using a Proposed Deep Learning Model.

Diagnostics (Basel, Switzerland)

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