[HTML][HTML] Enhancing brain tumor detection: a novel CNN approach with advanced activation functions for accurate medical imaging analysis

R Kaifi - Frontiers in Oncology, 2024 - pmc.ncbi.nlm.nih.gov
Introduction Brain tumors are characterized by abnormal cell growth within or around the
brain, posing severe health risks often associated with high mortality rates. Various imaging …

[HTML][HTML] Una revisión sistemática de Modelos de clasificación de dengue utilizando machine learning

GLE Maquen-Niño, J Bravo, R Alarcón… - RISTI-Revista Ibérica de …, 2023 - scielo.pt
El dengue es una enfermedad arboviral que anualmente reporta un gran número de
infectados en la costa norte y la selva peruana. Según las estadísticas, está aumentando …

Enhanced brain tumour detection and localization using ridgelet transform in MRI

K Chomu Basi, A Ajay Yajnik - Multimedia Tools and Applications, 2024 - Springer
The early detection and localization of brain tumours in magnetic resonance imaging (MRI)
data play a pivotal role in diagnosis and therapy planning. Timely detection and accurate …

Classification of Alzheimer's Disease Based on Deep Learning Using Medical Images.

H Vega-Huerta, KR Pantoja-Pimentel… - … Journal of Online & …, 2024 - search.ebscohost.com
Neurodegenerative disorders, notably Alzheimer's, pose an escalating global health
challenge. Marked by the degeneration of brain neurons, these conditions lead to a gradual …

OPTIMIZATION OF MACHINE LEARNING MODEL ACCURACY FOR BRAIN TUMOR CLASSIFICATION WITH PRINCIPAL COMPONENT ANALYSIS

I Maulana, AM Siregar, R Rahmat… - … Teknik Informatika (Jutif), 2024 - jutif.if.unsoed.ac.id
The main issue in brain tumor classification is the accuracy and speed of diagnosis through
medical imaging. This study aims to improve the accuracy of machine learning models for …

ResNet50-based Deep Learning model for accurate brain tumor detection in MRI scans

A Rath, BSP Mishra, DK Bagal - Next Research, 2025 - Elsevier
Utilizing the ResNet50 architecture with tailored modifications, this study presents a
revolutionary deep learning framework for brain tumor diagnosis from MRI scans. The …

A Novel Technique for Brain Tumor Detection and Classification Using T1-Weighted MR Image.

G CD - International Journal of Online & Biomedical …, 2023 - search.ebscohost.com
Brain tumors are particularly perilous because they form when cells in the brain multiply
uncontrollably within the skull. Therefore, a fast and accurate method of diagnosing tumors …

Classification Model Using Transfer Learning for the Detection of Pneumonia in Chest X-Ray Images.

GLE Maquen-Niño… - … Journal of Online & …, 2024 - search.ebscohost.com
In the current global context, there has been a significant increase in respiratory system
diseases, particularly pneumonia. This disease has a higher incidence of mortality in …

Development and Usability Evaluation of Health Fit Mobile Application for Physical Training Management During the COVID-19 Pandemic

H Vega-Huerta, D Sánchez-Moreno… - Brazilian Technology …, 2023 - Springer
Due to the quarantine established by the COVID-19 pandemic, many people have adopted
a sedentary lifestyle where there is no habit of doing physical activity; part of this is due to a …

Integration of the Peruvian Citizen's Public Information by Applying Web Scraping Under SCRUM Methodology

H Vega-Huerta, R Cardeña-Ccahuata… - Brazilian Technology …, 2023 - Springer
Abstract The Digital Platform of the Peruvian State is mainly composed of seven websites.
To obtain complete information about a citizen, information must be extracted from each …