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Automated assessment of facial wrinkling: A case study on the effect of smoking.

, , , , , and . SMC, page 1081-1086. IEEE, (2017)

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Development of Diabetic Foot Ulcer Datasets: An Overview., , , , , and . CoRR, (2022)Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs., , , , , , and . CoRR, (2020)Automated Kidney Segmentation by Mask R-CNN in T2-weighted Magnetic Resonance Imaging., , , , and . CoRR, (2021)Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques., , , , , and . Comput. Biol. Medicine, (2020)Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks., , and . BIOINFORMATICS, page 290-295. SCITEPRESS, (2020)DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification., , , , , and . CoRR, (2017)Artificial Intelligence for Diagnosis of Skin Cancer: Challenges and Opportunities., , , , and . CoRR, (2019)A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection., and . CoRR, (2020)Recognition of Ischaemia and Infection in Diabetic Foot Ulcers: Dataset and Techniques., , , , , and . CoRR, (2019)Deep learning in diabetic foot ulcers detection: A comprehensive evaluation., , , , , , , , , and 11 other author(s). Comput. Biol. Medicine, (2021)