10 citations · 10 across the 2 of their papers we have counts for
3 papers
FLIM-based Salient Object Detection Networks with Adaptive Decoders
Gilson Junior Soares, Matheus Abrantes Cerqueira, Jancarlo F. Gomes +3
Salient Object Detection (SOD) methods can locate objects that stand out in an image, assign higher values to their pixels in a saliency map, and binarize the map outputting a pred…
Interactive Image Selection and Training for Brain Tumor Segmentation Network
Matheus A. Cerqueira, Flávia Sprenger, Bernardo C. A. Teixeira +1
Medical image segmentation is a relevant problem, with deep learning being an exponent. However, the necessity of a high volume of fully annotated images for training massive model…
Building Brain Tumor Segmentation Networks with User-Assisted Filter Estimation and Selection
Matheus A. Cerqueira, Flávia Sprenger, Bernardo C. A. Teixeira +1
Brain tumor image segmentation is a challenging research topic in which deep-learning models have presented the best results. However, the traditional way of training those models…