Discriminative deep learning based benignity/malignancy diagnosis of dermatologic ultrasound skin lesions with pretrained artificial intelligence architecture.

Alexandra Laverde-SaadAbdulhadi JfriRubén GarcíaIrene SalgüeroConstanza MartínezHirune CembreroGastón RoustánFernando Alfageme Roldán

Published in: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) (2021)

An adequately trained algorithm, even with a limited number of images, is at least as accurate as a dermatologic-ultrasound experienced dermatologist in the evaluation of benignity/malignancy of ultrasound skin tumor images devoid of clinical data.

Keyphrases

deep learning
artificial intelligence
big data
convolutional neural network
magnetic resonance imaging
machine learning
ultrasound guided
soft tissue
contrast enhanced ultrasound
wound healing
electronic health record
resistance training
optical coherence tomography
mass spectrometry
high intensity