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Bio-inspired parallel computing of representative geometrical objects of holes of binary 2D-images
(INDERSCIENCE ENTERPRISES LTD, 2017)
In this paper, we present a bio-inspired parallel implementation of a solution of the problem of looking for the representative geometrical objects of the homology groups in a binary 2D image (extended-HGB2I problem), which ...
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A systematic comparison of deep learning methods for Gleason grading and scoring
(Elsevier, 2024-07)
Prostate cancer is the second most frequent cancer in men worldwide after lung cancer. Its diagnosis is based on the identification of the Gleason score that evaluates the abnormality of cells in glands through the analysis ...
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Classification of skin blemishes with cell phone images using deep learning techniques
(Elsevier, 2024-04)
Skin blemishes can be caused by multiple events or diseases and, in some cases, it is difficult to distinguish where they come from. Therefore, there may be cases with a dangerous origin that go unnoticed or the opposite ...
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A Neuromorphic Vision and Feedback Sensor Fusion Based on Spiking Neural Networks for Real-Time Robot Adaption
(Wiley, 2024-05)
For some years now, the locomotion mechanisms used by vertebrate animals have been a major inspiration for the improvement of robotic systems. These mechanisms range from adapting their movements to move through the ...
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Diagnosis Aid System for Colorectal Cancer Using Low Computational Cost Deep Learning Architectures
(MDPI, 2024-06)
Colorectal cancer is the second leading cause of cancer-related deaths worldwide. To prevent deaths, regular screenings with histopathological analysis of colorectal tissue should be performed. A diagnostic aid system could ...
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Prediction of melanoma Breslow thickness using deep transfer learning algorithms
(Oxford Academic, 2023-07)
Background: The distinction between in situ melanoma (MIS) and invasive melanoma is challenging even for expert dermatologists. The use of pretrained convolutional neural networks (CNNs) as ancillary decision systems ...