159 citations · 199 across the 3 of their papers we have counts for
3 papers
Data, Depth, and Design: Learning Reliable Models for Skin Lesion Analysis
Eduardo Valle, Michel Fornaciali, Afonso Menegola +4
Deep learning fostered a leap ahead in automated skin lesion analysis in the last two years. Those models are expensive to train and difficult to parameterize. Objective: We invest…
Knowledge Transfer for Melanoma Screening with Deep Learning
Afonso Menegola, Michel Fornaciali, Ramon Pires +3
Knowledge transfer impacts the performance of deep learning -- the state of the art for image classification tasks, including automated melanoma screening. Deep learning's greed fo…
Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results
Michel Fornaciali, Micael Carvalho, Flávia Vasques Bittencourt +2
In this paper we survey, analyze and criticize current art on automated melanoma screening, reimplementing a baseline technique, and proposing two novel ones. Melanoma, although hi…