Results 11 to 20 of about 12,736 (188)

Prediction of Arousal and Valence State from Electrodermal Activity using Wavelet based ResNet50 Model

open access: yesCurrent Directions in Biomedical Engineering, 2023
Real time physiological signals like Electrodermal Activity (EDA), measured using wearable devices, could be used for emotion recognition, thus enabling new paradigms of health monitoring, including mental health.
Anthiyur Aravindan Abhinav   +3 more
doaj   +1 more source

Convolutional neural network-based skin cancer classification with transfer learning models

open access: yesРадіоелектронні і комп'ютерні системи, 2023
Skin cancer is a medical condition characterized by abnormal growth of skin cells. This occurs when the DNA within these skin cells becomes damaged. In addition, it is a prevalent form of cancer that can result in fatalities if not identified in its ...
Mariame Oumoulylte   +4 more
doaj   +1 more source

GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong   +12 more
wiley   +1 more source

GastroNet: A robust attention‐based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Diseases of the Gastrointestinal (GI) tract significantly affect the quality of human life and have a high fatality rate. Accurate diagnosis of GI diseases plays a pivotal role in healthcare systems. However, processing large amounts of medical image data can be challenging for radiologists and other medical professionals, increasing the risk ...
Muhammad Nouman Noor   +5 more
wiley   +1 more source

Tumor-Net: convolutional neural network modeling for classifying brain tumors from MRI images

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics), 2023
Abnormal brain tissue or cell growth is known as a brain tumor. One of the body's most intricate organs is the brain, where billions of cells work together. As a head tumor grows, the brain suffers damage due to its increasingly dense core.
Abu Kowshir Bitto   +5 more
doaj   +1 more source

Revisión Sistemática de Literatura: Análisis de viabilidad para la detección y diagnóstico de Covid-19, aplicando modelos de Inteligencia Artificial (IA)

open access: yesCedamaz, 2021
Desde la declaración de la emergencia sanitaria provocada por el Covid-19 en marzo del 2020, hasta la fecha, existen aproximadamente 219 millones de contagiados, de los cuales 4,5 millones han muerto.
Jonathan Ricardo Tillaguango Jiménez
doaj   +1 more source

Image-based skin disease detection: Psoriasis, Eczema, and Acne using VGG16 and ResNet-50 [PDF]

open access: yesEPJ Web of Conferences
Millions of people around the world are affected by skin diseases, which represent a serious health risk. For these illnesses to be effectively treated, a timely and precise diagnosis is essential. This project uses deep learning techniques, specifically
Kumbhar Aditi   +4 more
doaj   +1 more source

Galaxy morphology classification using VGG16

open access: yesJournal of Physics: Conference Series, 2023
Abstract There are billions of galaxies in the universe, each with millions or billions of stars. Galaxies vary in shape and size, and they interact with one another, sometimes colliding and merging, sometimes tearing apart, resulting in different features such as bars, rings, pseudo-pillars, and so on.
openaire   +1 more source

Herbal Leaves Classification Based on Leaf Image Using CNN Architecture Model VGG16

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
Herbal leaves are a type that is often used by people in the health sector. The problem faced is the lack of knowledge about the types of herbal leaves and the difficulty of distinguishing the types of herbal leaves for ordinary people who do not ...
Bella Dwi Mardiana   +4 more
doaj   +1 more source

A Hybrid Approach for Landmark Recognition using Deep Local Features and Residual Network-50 [PDF]

open access: yesITM Web of Conferences, 2021
As smartphones and mobile data become universal in modern society, the opportunities to interact with the real world would grow tremendously. Latest Technologies such as Oculus Rift and Google Glass attempt to bridge the gap between the virtual and the ...
Nimbare Nishant   +3 more
doaj   +1 more source

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