Abstract: Automatic localization of skin lesions within dermoscopy images is a crucial step toward developing a decision support system for skin cancer detection. However, segmentation of the lesion ...

Abstract: Semantic segmentation is one of the fundamental tasks of pixel-level remote sensing image analysis. Currently, most high-performance semantic segmentation methods are trained in a supervised ...

To the best of our knowledge, this is the first list of deep learning papers on medical applications. There are couple of lists for deep learning papers in general, or computer vision, for example ...

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

Contributed by J. Anthony Movshon; received March 9, 2022; accepted July 23, 2022; reviewed by Christos Papadimitriou and Qasim Zaidi This contribution is part of the special series of Inaugural ...

Consequently, their segmentation performance often fails to meet the stringent accuracy and robustness requirements of clinical imaging analysis. With the rapid advancement of deep learning, ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...