105 citations · 193 across the 6 of their papers we have counts for
5 papers · 1 filter
Print Defect Mapping with Semantic Segmentation
Augusto C. Valente, Cristina Wada, Deangela Neves +6
Efficient automated print defect mapping is valuable to the printing industry since such defects directly influence customer-perceived printer quality and manually mapping them is…
Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification
Fábio Perez, Sandra Avila, Eduardo Valle
Convolutional neural networks (CNNs) deliver exceptional results for computer vision, including medical image analysis. With the growing number of available architectures, picking…
Skin Lesion Synthesis with Generative Adversarial Networks
Alceu Bissoto, Fábio Perez, Eduardo Valle +1
Skin cancer is by far the most common type of cancer. Early detection is the key to increase the chances for successful treatment significantly. Currently, Deep Neural Networks are…
Data Augmentation for Skin Lesion Analysis
Fábio Perez, Cristina Vasconcelos, Sandra Avila +1
Deep learning models show remarkable results in automated skin lesion analysis. However, these models demand considerable amounts of data, while the availability of annotated skin…
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018
Alceu Bissoto, Fábio Perez, Vinícius Ribeiro +3
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). Altho…