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View all- Santos CRoder MPassos LPapa J(2022)MaxDropoutV2: An Improved Method to Drop Out Neurons in Convolutional Neural NetworksPattern Recognition and Image Analysis10.1007/978-3-031-04881-4_22(271-282)Online publication date: 4-May-2022
Automatic segmentation of medical images is an important task for many clinical applications. In practice, a wide range of anatomical structures are visualised using different imaging modalities. In this paper, we investigate whether a single ...
Brain tumor segmentation is an important task in medical image processing. Early diagnosis of brain tumors plays an important role in improving treatment possibilities and increases the survival rate of the patients. Manual segmentation of the brain ...
The machine learning community has been overwhelmed by a plethora of deep learning--based approaches. Many challenging computer vision tasks, such as detection, localization, recognition, and segmentation of objects in an unconstrained environment, are ...
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