Automated detection of nonmelanoma skin cancer using digital images: a systematic review

A Marka, JB Carter, E Toto, S Hassanpour - BMC medical imaging, 2019 - Springer
Background Computer-aided diagnosis of skin lesions is a growing area of research, but its
application to nonmelanoma skin cancer (NMSC) is relatively under-studied. The purpose of …

The role of AI classifiers in skin cancer images

C Magalhaes, J Mendes… - Skin Research and …, 2019 - Wiley Online Library
Background The use of different imaging modalities to assist in skin cancer diagnosis is a
common practice in clinical scenarios. Different features representative of the lesion under …

Skin neoplasms dynamic thermal assessment

C Magalhaes, J Mendes, RV Filipe… - 2019 IEEE 6th …, 2019 - ieeexplore.ieee.org
The incidence rates of skin neoplastic lesions have increased worldwide over the last
decade. Its detection is currently experience dependent, causing diagnosis delay and …

[PDF][PDF] Automated detection of nonmelanoma skin cancer using digital images: a systematic

A Marka, JB Carter, E Toto, S Hassanpour - 2019 - bmcmedimaging.biomedcentral.com
Background: Computer-aided diagnosis of skin lesions is a growing area of research, but its
application to nonmelanoma skin cancer (NMSC) is relatively under-studied. The purpose of …

Алгоритми багаторівневого навчання для вирішення задачі класифікації захворювань шкіри.

V Akymov - COMPUTER-INTEGRATED TECHNOLOGIES …, 2019 - cit-journal.com.ua
Захворювання шкіри сьогодні належать до розповсюджених медичних проблем.
Кількість таких захворювань постійно зростає, незважаючи на розвиток медичної …