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Mostrando ítems 1-10 de 12
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
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 ...
Tesis Doctoral
Deep Learning-based Computer-Aided Diagnosis systems: a contribution to prostate cancer detection in histopathological images
(2021-07-20)
In this work, novel computer-aided diagnosis systems for medical image analysis focusing on prostate cancer are proposed and implemented. First, the histopathology of prostate cancer was studied, along with the Gleason ...
Artículo
Wildlife Monitoring on the Edge: A Performance Evaluation of Embedded Neural Networks on Microcontrollers for Animal Behavior Classification
(MDPI, 2021-04)
Monitoring animals’ behavior living in wild or semi-wild environments is a very interesting subject for biologists who work with them. The difficulty and cost of implanting electronic devices in this kind of animals suggest ...
Artículo
OpenNAS: Open Source Neuromorphic Auditory Sensor HDL code generator for FPGA implementations
(Elsevier, 2021)
OpenNAS is an open-source tool for automatically generating the source files to create a Neuromorphic Auditory Sensor (NAS) VHDL project for FPGA. OpenNAS guides the user with a friendly interface that allows configuring ...
Artículo
NeuroPod: a real-time neuromorphic spiking CPG applied to robotics
(Elsevier, 2020)
Initially, robots were developed with the aim of making our life easier, carrying out repetitive or dangerous tasks for humans. Although they were able to perform these tasks, the latest generation of robots are being ...
Ponencia
Live Demonstration: Neuromorphic Sensory Integration for Combining Sound Source Localization and Collision Avoidance
(IEEE Xplore, 2020-10)
The brain is able to solve complex tasks in real time by combining different sensory cues with previously acquired knowledge. Inspired by the brain, we designed a neuromorphicdemonstrator which combines auditory and visual ...
Artículo
A Deep-Learning Based Posture Detection System for Preventing Telework-Related Musculoskeletal Disorders
(MDPI, 2021)
The change from face-to-face work to teleworking caused by the pandemic has induced multiple workers to spend more time than usual in front of a computer; in addition, the sudden installation of workstations in homes ...
Artículo
ED-BioRob: A Neuromorphic Robotic Arm With FPGA-Based Infrastructure for Bio-Inspired Spiking Motor Controllers
(Frontiers Media, 2020-11)
Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient way regarding the body motor actions. Decision making, once the sensory information arrives to the brain, is in the order ...
Artículo
Event-Based Gesture Recognition through a Hierarchy of Time-Surfaces for FPGA
(MDPI, 2020-06)
Neuromorphic vision sensors detect changes in luminosity taking inspiration from mammalian retina and providing a stream of events with high temporal resolution, also known as Dynamic Vision Sensors (DVS). This continuous ...