id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_qfi2nvinwzewxps2rh4jzz6key	Carolina Magalhaes	The role of AI classifiers in skin cancer images	2019.0	8	.pdf	application/pdf	6734	790	56	Background: The use of different imaging modalities to assist in skin cancer diagnosis diagnosis, based on information retrieved from different imaging modalities. cancer, skin neoplasm, imaging and classification methods. analysis, processing stages and image fusion assuring the best possible classification algorithms, image processing and computer vision, machine learning, skin cancer (skin neoplasm) AND TOPIC: (imaging) AND (classification meth‐ sification methods in skin cancer images. skin cancer classification, articles that described the use of classifica‐ tational classification methods were not applied to skin cancer im‐ Kia et al74 classified healthy skin, melanoma, BCC and benign lesion' Most publications concerning the use of classifiers for skin cancer for skin cancer detection from dermoscopic images. skin lesion classification using quadratic support vector machine. The role of AI classifiers in skin cancer images. The role of AI classifiers in skin cancer images. The role of AI classifiers in skin cancer images.	./cache/work_qfi2nvinwzewxps2rh4jzz6key.pdf	./txt/work_qfi2nvinwzewxps2rh4jzz6key.txt