Enhanced u-net for lesion segmentation in whole-slide images: Integrating attention mechanisms and multi-scale feature extraction

Fan Wu; Yuliang Sun; Peijuan Wang; Fengjun Hu; Ghulam Abbas; Amr Yousef; Ezzeddine Touti

doi:10.1016/j.asej.2025.103748

Citations

398

Views

Abstract not available for this publication.

Cite this Article (APA)

Fan, W., Yuliang, S., Peijuan, W., Fengjun, H., Ghulam, A., Amr, Y., Ezzeddine, T. (2025). Enhanced u-net for lesion segmentation in whole-slide images: Integrating attention mechanisms and multi-scale feature extraction. Ain Shams Engineering Journal. https://doi.org/10.1016/j.asej.2025.103748

U. Younas; J. Muhammad; H.F. Ismael; Tukur Abdulkadir Sulaiman; Homan Emadifar; · 2025

cites

394

Experimental and machine learning assessment of sustainable natural fiber reinforced concrete incorp…

Md. Hamidul Islam; Shuvo Dip Datta; Sanjoy Mondol; Md. Habibur Rahman Sobuz; Jaw · 2025

cites

387

Analysis of the application of generative artificial intelligence in interior design education

Yao Liu; Beiyuan Xu; Jiarong Feng; Pengjun Wu · 2025

cites

391

Hybrid augmentation for multi-channel deep learning in guava leaf disease detection