245 citations · 329 across the 10 of their papers we have counts for
10 papers
Learning multiplane images from single views with self-supervision
Gustavo Sutter P. Carvalho, Diogo C. Luvizon, Antonio Joia Neto +2
Generating static novel views from an already captured image is a hard task in computer vision and graphics, in particular when the single input image has dynamic parts such as per…
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information
Breno Krohling, Pedro B. C. Castro, Andre G. C. Pacheco +1
Over the last decades, the incidence of skin cancer, melanoma and non-melanoma, has increased at a continuous rate. In particular for melanoma, the deadliest type of skin cancer, e…
Improving Deep Learning Sound Events Classifiers using Gram Matrix Feature-wise Correlations
Antonio Joia Neto, Andre G C Pacheco, Diogo C Luvizon
In this paper, we propose a new Sound Event Classification (SEC) method which is inspired in recent works for out-of-distribution detection. In our method, we analyse all the activ…
PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones
Andre G. C. Pacheco, Gustavo R. Lima, Amanda S. Salomão +16
Over the past few years, different computer-aided diagnosis (CAD) systems have been proposed to tackle skin lesion analysis. Most of these systems work only for dermoscopy images s…
Recent advances in deep learning applied to skin cancer detection
Andre G. C. Pacheco, Renato A. Krohling
Skin cancer is a major public health problem around the world. Its early detection is very important to increase patient prognostics. However, the lack of qualified professionals a…
The impact of patient clinical information on automated skin cancer detection
Andre G. C. Pacheco, Renato A. Krohling
Skin cancer is one of the most common types of cancer around the world. For this reason, over the past years, different approaches have been proposed to assist detect it. Nonethele…