João Deltregia Martinelli in research grants and scholarships supported by FAPESP.
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In recent years, Convolutional Neural Networks (CNNs) have seen immense success in creating models for decision-making and decision-support systems. However, as their complexity increases in attempts to solve harder problems, heavyweight CNNs pose challenges in data requirements, interpretability, and computational resources. Feature Learning from Image Markers (FLIM), a recent methodolog…
Deep learning models have been successful in image segmentation at the price of considerable human effort in data annotation and network adaptation. Such drawback is relevant in medical applications due to the time constraints faced by professionals and the cost of their time. FLIM (Feature Learning from Image Markers) addresses this issue by estimating filters from markers drawn by an ex…
| 1 / 1 | Ongoing scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 2 / 2 | All Scholarships |
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