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Artículo
Performance Evaluation of Deep Learning-Based Prostate Cancer Screening Methods in Histopathological Images: Measuring the Impact of the Model’s Complexity on Its Processing Speed
(MDPI, 2021-01)
Prostate cancer (PCa) is the second most frequently diagnosed cancer among men worldwide, with almost 1.3 million new cases and 360,000 deaths in 2018. As it has been estimated, its mortality will double by 2040, mostly ...
Artículo
Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors
(IEEE Computer Society, 2017)
Auscultation is one of the most used techniques for detecting cardiovascular diseases, which is one of the main causes of death in the world. Heart murmurs are the most common abnormal finding when a patient visits the ...
Artículo
Real-time detection of uncalibrated sensors using neural networks
(Springer, 2022)
Nowadays, sensors play a major role in several fields, such as science, industry and everyday technology. Therefore, the information received from the sensors must be reliable. If the sensors present any anomalies, serious ...
Artículo
Efficient Memory Organization for DNN Hardware Accelerator Implementation on PSoC
(MDPI, 2021-01)
The use of deep learning solutions in different disciplines is increasing and their algorithms are computationally expensive in most cases. For this reason, numerous hardware accelerators have appeared to compute their ...
Artículo
An Event-Based Digital Time Difference Encoder Model Implementation for Neuromorphic Systems
(IEEE Computer Society, 2022)
Neuromorphic systems are a viable alternative to conventional systems for real-time tasks with constrained resources. Their low power consumption, compact hardware realization, and low-latency response characteristics are ...
Artículo
Wide and Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems
(Elsevier, 2021)
Prostate cancer (PCa) is one of the most commonly diagnosed cancer and one of the leading causes of death among men, with almost 1.41 million new cases and around 375,000 deaths in 2020. Artificial Intelligence algorithms ...
Artículo
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 ...
Artículo
Data-driven color augmentation for H&E stained images in computational pathology
(ScienceDirect, 2023)
Computational pathology targets the automatic analysis of Whole Slide Images (WSI). WSIs are high-resolution digitized histopathology images, stained with chemical reagents to highlight specific tissue structures and scanned ...
Artículo
Neuromorphic adaptive spiking CPG towards bio-inspired locomotion
(Elsevier, 2022)
In recent years, locomotion mechanisms exhibited by vertebrate animals have been the inspiration for the improvement in the performance of robotic systems. These mechanisms include the adaptability of their locomotion ...
Artículo
pyNAVIS: An open-source cross-platform software for spike-based neuromorphic audio information processing
(Elsevier, 2021)
Visualizing the output from event-based sensors and analyzing the information within it is crucial when developing new neuromorphic systems. A novel open-source, cross-platform Python package called pyNAVIS is proposed, ...