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A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification., , , , and . Int. J. Medical Informatics, (2018)Pre-Trained Transformer-Based Models for Text Classification Using Low-Resourced Ewe Language., , , , , , , , , and . Syst., 12 (1): 1 (2024)Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network., , , , , , , , and . EMBC, page 1230-1233. IEEE, (2017)A Hybrid Deep Transfer Learning of CNN-Based LR-PCA for Breast Lesion Diagnosis via Medical Breast Mammograms., , , , , , and . Sensors, 22 (13): 4938 (2022)MDAU-Net: A Multi-Scale U-Net with Dual Attention Module for Pavement Crack Segmentation., , , , , and . ISKE, page 170-177. IEEE, (2023)FXAI: Fusing XAI for Predicting COVID-19 Using Diverse Chest X - Ray Images., , , , , and . ISKE, page 86-92. IEEE, (2023)"Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images"., , , and . Appl. Intell., 51 (5): 2890-2907 (2021)A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images., , and . Biomed. Signal Process. Control., 86 (Part B): 105191 (September 2023)Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks., , , , and . Comput. Methods Programs Biomed., (2018)Non-local means filter denoising for DEXA images., , , , , , , , , and 3 other author(s). EMBC, page 572-575. IEEE, (2017)