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Found 7 papers, 5 papers with code
Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results
In this paper we survey, analyze and criticize current art on automated melanoma screening, reimplementing a baseline technique, and proposing two novel ones.
Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes
Deep learning is the current bet for image classification.
RECOD Titans at ISIC Challenge 2017
This extended abstract describes the participation of RECOD Titans in parts 1 and 3 of the ISIC Challenge 2017 "Skin Lesion Analysis Towards Melanoma Detection" (ISBI 2017).
Knowledge Transfer for Melanoma Screening with Deep Learning
Knowledge transfer impacts the performance of deep learning -- the state of the art for image classification tasks, including automated melanoma screening.
Data, Depth, and Design: Learning Reliable Models for Skin Lesion Analysis
We use the exhaustive trials to simulate sequential decisions and ensembles, with and without the use of privileged information from the test set.
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018
This extended abstract describes the participation of RECOD Titans in parts 1 to 3 of the ISIC Challenge 2018 "Skin Lesion Analysis Towards Melanoma Detection" (MICCAI 2018).
(De)Constructing Bias on Skin Lesion Datasets
We fed models with additional clinically meaningful information, which failed to improve the results even slightly, suggesting the destruction of cogent correlations.
