ListarArtículos (Arquitectura y Tecnología de Computadores) por materia "Deep learning"
Mostrando ítems 1-20 de 23
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A lightweight xAI approach to cervical cancer classification
(Springer, 2024-03)Cervical cancer is caused in the vast majority of cases by the human papilloma virus (HPV) through sexual contact and ...
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A study on the use of Edge TPUs for eye fundus image segmentation
(Elsevier, 2021)Medical image segmentation can be implemented using Deep Learning methods with fast and efficient segmentation networks. ...
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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 ...
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Affective State Assistant for Helping Users with Cognition Disabilities Using Neural Networks
(MDPI, 2020-09)Non-verbal communication is essential in the communication process. This means that its lack can cause misinterpretations ...
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AnkFall—Falls, Falling Risks and Daily-Life Activities Dataset with an Ankle-Placed Accelerometer and Training Using Recurrent Neural Networks
(MDPI, 2021)Falls are one of the leading causes of permanent injury and/or disability among the elderly. When these people live alone, ...
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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 ...
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Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs
(Cornell University, 2016)Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from ...
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COVID-XNet: a custom Deep Learning system to diagnose and locate COVID-19 in chest X-ray images
(MDPI, 2020-08)The COVID-19 pandemic caused by the new coronavirus SARS-CoV-2 has changed the world as we know it. An early diagnosis is ...
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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 ...
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Deep Learning System for COVID-19 Diagnosis Aid Using X-ray Pulmonary Images
(MDPI, 2020)The spread of the SARS-CoV-2 virus has made the COVID-19 disease a worldwide epidemic. The most common tests to identify ...
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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 ...
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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 ...
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Does Two-Class Training Extract Real Features? A COVID-19 Case Study
(MDPI, 2021-01)Diagnosis aid systems that use image analysis are currently very useful due to the large workload of health professionals ...
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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 ...
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Melanoma Breslow thickness classification using ensemble-based knowledge distillation with semi-supervised convolutional neural networks
(EEE-Inst Electrical Electronics Engineers Inc, 2024-09-20)Melanoma is considered a global public health challenge and is responsible for more than 90% deaths related to skin ...
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Neuromorphic LIF Row-by-Row Multiconvolution Processor for FPGA
(IEEE Computer Society, 2018)Deep Learning algorithms have become state-of-theart methods for multiple fields, including computer vision, speech recognition, ...
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Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques
(Elsevier, 2022-11)Background: Lung cancer has the highest mortality rate in the world, twice as high as the second highest. On the other ...
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On the feature extraction process in machine learning. An experimental study about guided versus non-guided process in falling detection systems
(Elsevier, 2022)Falls are current events that can lead to severe injuries and even accidental deaths among the population, especially the ...
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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 ...
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PROMETEO: A CNN-based computer-aided diagnosis system for WSI prostate cancer detection
(IEEE Computer Society, 2020)Prostate cancer is currently one of the most commonly-diagnosed types of cancer among males. Although its death rate has ...