no code implementations • 18 Oct 2021 • Gustavo Sutter P. Carvalho, Diogo C. Luvizon, Antonio Joia Neto, Andre G. C. Pacheco, Otavio A. B. Penatti
Although our method does not require stereo data for supervision, it reaches results on stereo datasets comparable to the state of the art in a zero-shot scenario.
no code implementations • 28 Apr 2021 • Breno Krohling, Pedro B. C. Castro, Andre G. C. Pacheco, Renato A. Krohling
In this work, we present a smartphone-based application to assist on skin cancer detection.
no code implementations • IEEE Journal of Biomedical and Health Informatics 2021 • Andre G. C. Pacheco, Renato A. Krohling
In this article, we deal with the problem of combining images and metadata features using deep learning models applied to skin cancer classification.
Ranked #2 on
Skin Lesion Classification
on PAD-UFES-20
no code implementations • 6 Dec 2019 • Andre G. C. Pacheco, Renato A. Krohling
Skin cancer is a major public health problem around the world.
no code implementations • 16 Sep 2019 • Andre G. C. Pacheco, Renato A. Krohling
These models are applied to the presented dataset using only the images and combining them with the patient clinical information.
no code implementations • 10 Sep 2019 • Andre G. C. Pacheco, Abder-Rahman Ali, Thomas Trappenberg
We describe our methods that achieved the 3rd and 4th places in tasks 1 and 2, respectively, at ISIC challenge 2019.
no code implementations • 9 May 2019 • Andre G. C. Pacheco
Data classification is present in different real problems, such as recognizing patterns in images, differentiating defective parts in a production line, classifying benign and malignant tumors, among many others.
no code implementations • 22 Oct 2016 • Andre G. C. Pacheco, Renato A. Krohling
In machine learning it is common run the algorithms several times and then a statistic is calculated in terms of means and standard deviations.