195 citations · 1k across the 35 of their papers we have counts for
6 papers · 1 filter
Compressing Representations for Embedded Deep Learning
Juliano S. Assine, Alan Godoy, Eduardo Valle
Despite recent advances in architectures for mobile devices, deep learning computational requirements remains prohibitive for most embedded devices. To address that issue, we envis…
The Six Fronts of the Generative Adversarial Networks
Alceu Bissoto, Eduardo Valle, Sandra Avila
Generative Adversarial Networks fostered a newfound interest in generative models, resulting in a swelling wave of new works that new-coming researchers may find formidable to surf…
Handling Inter-Annotator Agreement for Automated Skin Lesion Segmentation
Vinicius Ribeiro, Sandra Avila, Eduardo Valle
In this work, we explore the issue of the inter-annotator agreement for training and evaluating automated segmentation of skin lesions. We explore what different degrees of agreeme…
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…
(De)Constructing Bias on Skin Lesion Datasets
Alceu Bissoto, Michel Fornaciali, Eduardo Valle +1
Melanoma is the deadliest form of skin cancer. Automated skin lesion analysis plays an important role for early detection. Nowadays, the ISIC Archive and the Atlas of Dermoscopy da…
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…