[HTML][HTML] La aplicación de la neutrosofía en las ciencias médicas: una revisión bibliográfica narrativa

J Estupiñán Ricardo, MY Leyva Vázquez… - Revista Cubana de …, 2023 - scielo.sld.cu
El presente estudio tiene como objetivo principal examinar la aplicación de la neutrosofía
en el campo de las ciencias médicas, a través de una revisión bibliográfica narrativa. Se ha …

The multi-level classification network (MCN) with modified residual U-Net for ischemic stroke lesions segmentation from ATLAS

H Alquhayz, HZ Tufail, B Raza - Computers in Biology and Medicine, 2022 - Elsevier
Ischemic and hemorrhagic strokes are two major types of internal brain injury. 3D brain MRI
is suggested by neurologists to examine the brain. Manual examination of brain MRI is very …

Enhancing Automated Brain Tumor Detection Accuracy Using Artificial Intelligence Approaches for Healthcare Environments

A Abdusalomov, M Rakhimov, J Karimberdiyev… - Bioengineering, 2024 - mdpi.com
Medical imaging and deep learning models are essential to the early identification and
diagnosis of brain cancers, facilitating timely intervention and improving patient outcomes …

[PDF][PDF] Hybridization between deep learning algorithms and neutrosophic theory in medical image processing: A survey

NN Mostafa, K Ahmed… - Neutrosophic Sets and …, 2021 - digitalrepository.unm.edu
Deep learning can successfully extract data features based on dealing greatly with
nonlinear problems. Deep learning has the highest performance in medical image analysis …

[PDF][PDF] Dombi-normalized weighted bonferroni mean operators with novel multiple-valued complex neutrosophic uncertain linguistic sets and their application in …

T Mahmood, Z Ali, D Prangchumpol… - … -Computer Modeling in …, 2022 - cdn.techscience.cn
Although fuzzy set concepts have evolved, neutrosophic sets are attracting more attention
due to the greater power of the structure of neutrosophic sets. The ability to account for …