105 citations · 154 across the 5 of their papers we have counts for
5 papers
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation
Vinicius Ribeiro, Sandra Avila, Eduardo Valle
Segmenting skin lesions images is relevant both for itself and for assisting in lesion classification, but suffers from the challenge in obtaining annotated data. In this work, we…
Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark
Edson Bollis, Helio Pedrini, Sandra Avila
Pests and diseases are relevant factors for production losses in agriculture and, therefore, promote a huge investment in the prevention and detection of its causative agents. In m…
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…
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…
Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes
Afonso Menegola, Michel Fornaciali, Ramon Pires +2
Deep learning is the current bet for image classification. Its greed for huge amounts of annotated data limits its usage in medical imaging context. In this scenario transfer learn…