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Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation
Semantic segmentation has a wide array of applications ranging from medi...
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Exploiting Adam-like Optimization Algorithms to Improve the Performance of Convolutional Neural Networks
Stochastic gradient descent (SGD) is the main approach for training deep...
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Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare
Classification of biological images is an important task with crucial ap...
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Deep learning for Plankton and Coral Classification
Oceans are the essential lifeblood of the Earth: they provide over 70 ox...
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Learning morphological operators for skin detection
In this work we propose a novel post processing approach for skin detect...
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iProStruct2D: Identifying protein structural classes by deep learning via 2D representations
In this paper we address the problem of protein classification starting ...
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Ensemble of Deep Learned Features for Melanoma Classification
The aim of this work is to propose an ensemble of descriptors for Melano...
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Fair comparison of skin detection approaches on publicly available datasets
Skin detection is the process of discriminating skin and non-skin region...
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