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Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images.

, , , , , , , , , and . IEEE J. Biomed. Health Informatics, 23 (4): 1385-1391 (2019)

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Border Detection on Digitized Skin Tumor Images., , and . IEEE Trans. Med. Imaging, 19 (11): 1128-1143 (2000)Microwave reflectometry as a novel diagnostic tool for detection of skin cancers., , , , , and . IEEE Trans. Instrum. Meas., 55 (4): 1309-1316 (2006)Differentiation among basal cell carcinoma, benign lesions, and normal skin using electric impedance., , , , and . IEEE Trans. Biomed. Eng., 50 (8): 1020-1025 (2003)Nuclei-Based Features for Uterine Cervical Cancer Histology Image Analysis With Fusion-Based Classification., , , , , , , , , and . IEEE J. Biomed. Health Informatics, 20 (6): 1595-1607 (2016)Biologically Inspired QuadTree Color Detection in Dermoscopy Images of Melanoma., , , and . IEEE J. Biomed. Health Informatics, 23 (2): 570-577 (2019)Deep learning-based dot and globule segmentation with pixel and blob-based metrics for evaluation., , , , , , , , , and 1 other author(s). Intell. Syst. Appl., (2022)ChimeraNet: U-Net for Hair Detection in Dermoscopic Skin Lesion Images., , , , , , , , and . J. Digit. Imaging, 36 (2): 526-535 (April 2023)Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images., , , , , , , , , and . IEEE J. Biomed. Health Informatics, 23 (4): 1385-1391 (2019)Automatic detection and segmentation of vascular structures in dermoscopy images using a novel vesselness measure based on pixel redness and tubularness., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94143M. SPIE, (2015)Independent Histogram Pursuit for Segmentation of Skin Lesions., , , and . IEEE Trans. Biomed. Eng., 55 (1): 157-161 (2008)