Results 21 to 30 of about 222,062 (261)

AN ENSEMBLE TEMPLATE MATCHING AND CONTENT-BASED IMAGE RETRIEVAL SCHEME TOWARDS EARLY STAGE DETECTION OF MELANOMA

Image Analysis and Stereology, 2016
Malignant melanoma represents the most dangerous type of skin cancer. In this study we present an ensemble classification scheme, employing the mutual information, the cross-correlation and the clustering based on proximity of image features methods, for
Spiros Kostopoulos, Dimitris Glotsos, Pantelis Asvestas, Christos Konstandinou, George Xenogiannopoulos, Konstantinos Sidiropoulos, Eirini-Konstantina Nikolatou, Konstantinos Perakis, Spyros Mantzouratos, Theophilos Sakkis, George Sakellaropoulos, George Nikiforidis, Dionisis Cavouras   +12 more
doaj   +1 more source

An Energy-Efficient Biomedical Signal Processing Platform [PDF]

IEEE Journal of Solid-State Circuits, 2010
This paper presents an energy-efficient processing platform for wearable sensor nodes, designed to support diverse biological signals and algorithms. The platform features a 0.5V-1.0V 16b microcontroller, SRAM, and accelerators for biomedical signal processing.
Kwong, Joyce, Chandrakasan, Anantha P.
openaire   +4 more sources

An explainable framework for the relationship between dementia and metabolism patterns

NeuroImage
High-dimensional neuroimaging data poses a challenge for the clinical assessment of neurodegenerative diseases, as it involves complex non-linear relationships that are difficult to disentangle using traditional methods.
C. Vázquez-García, F.J. Martínez-Murcia, F. Segovia, A. Forte, J. Ramírez, I. Illán, A. Hernández-Segura, C. Jiménez-Mesa, J.M. Górriz   +8 more
doaj   +1 more source

Social Engagement in the Fight Against COVID-19 in the Urban and Peri-Urban Areas of Cotonou (Benin, Sub-saharan Africa): Acceptability of the Vaccination and Tracking Program

Frontiers in Medicine, 2022
IntroductionThis article aims at investigating social engagement in the fight against the COVID-19 pandemic in low-resource settings (LRSs). In particular, it focuses on Benin (Sub-Saharan Africa), and reports the results of a field study that ...
Alessia Maccaro, Davide Piaggio, Iyabosola Busola Oronti, Marius Vignigbé, Antoinette Gbokli, Roch Houngnihin, Leandro Pecchia, Leandro Pecchia   +7 more
doaj   +1 more source

Brain-wide resting-state fMRI network dynamics elicited by activation of single thalamic input

Nature Communications
Understanding how the brain rapidly processes neural information through large-scale network dynamics is fundamental to neuroscience. Resting-state fMRI (rsfMRI) captures networks by probing spontaneous neural activity fluctuations, yet whether these ...
Linshan Xie, Xunda Wang, Xuehong Lin, Junjian Wen, Teng Ma, Alex T. L. Leong, Ed X. Wu   +6 more
doaj   +1 more source

Development of a Fully Optimized Convolutional Neural Network for Astrocytoma Classification in MRI Using Explainable Artificial Intelligence

Journal of Imaging
Astrocytoma is the most common type of brain glioma and is classified by the World Health Organization into four grades, providing prognostic insights and guiding treatment decisions.
Christos Ch. Andrianos, Spiros A. Kostopoulos, Ioannis K. Kalatzis, Dimitris Th. Glotsos, Pantelis A. Asvestas, Dionisis A. Cavouras, Emmanouil I. Athanasiadis   +6 more
doaj   +1 more source

On the Forward Scattering of Microwave Breast Imaging

International Journal of Biomedical Imaging, 2012
Microwave imaging for breast cancer detection has been of significant interest for the last two decades. Recent studies focus on solving the imaging problem using an inverse scattering approach.
Hoi-Shun Lui, Andreas Fhager, Mikael Persson   +2 more
doaj   +1 more source

Influence of Parameter Selection in Fixed Sample Entropy of Surface Diaphragm Electromyography for Estimating Respiratory Activity

Entropy, 2017
Fixed sample entropy (fSampEn) is a robust technique that allows the evaluation of inspiratory effort in diaphragm electromyography (EMGdi) signals, and has potential utility in sleep studies.
Luis Estrada, Abel Torres, Leonardo Sarlabous, Raimon Jané   +3 more
doaj   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Segmentation-Free Preoperative 3D MRI Classification of Low-Grade Versus High-Grade Glioma Using Task-Oriented Neural Architecture Search

Journal of Imaging
Gliomas constitute the majority of primary brain tumors, and accurate diagnosis through MRI is essential for patient management. Existing computer-aided diagnosis approaches frequently rely on tumor segmentation frameworks.
Christos Ch. Andrianos, Spiros A. Kostopoulos, Ioannis K. Kalatzis, Dimitris Th. Glotsos, Pantelis A. Asvestas, Dionisis A. Cavouras, Emmanouil I. Athanasiadis   +6 more
doaj   +1 more source