New approach to detect and classify stroke in skull CT images via analysis of brain tissue densities

PP Reboucas Filho, RM Sarmento, GB Holanda… - Computer methods and …, 2017 - Elsevier
Abstract Background and Objective Cerebral vascular accident (CVA), also known as stroke,
is an important health problem worldwide and it affects 16 million people worldwide every …

Analysis of human tissue densities: A new approach to extract features from medical images

PP Rebouças Filho, ES Rebouças, LB Marinho… - Pattern Recognition …, 2017 - Elsevier
Identification of diseases based on processing and analysis of medical images is of great
importance for medical doctors to assist them in their decision making. In this work, a new …

A new effective and powerful medical image segmentation algorithm based on optimum path snakes

PP Rebouças Filho, AC da Silva Barros… - Applied Soft …, 2019 - Elsevier
Novel segmentation methods based on models of deformable active contours are constantly
proposed and validated in different fields of knowledge, with the aim to make the detection of …

Automated recognition of lung diseases in CT images based on the optimum-path forest classifier

PPR Filho, ACS Barros, GLB Ramalho… - Neural Computing and …, 2019 - Springer
Abstract The World Health Organization estimated that around 300 million people have
asthma, and 210 million people are affected by Chronic Obstructive Pulmonary Disease …

New level set approach based on Parzen estimation for stroke segmentation in skull CT images

ES Rebouças, RCP Marques, AM Braga, SAF Oliveira… - Soft Computing, 2019 - Springer
Stroke is the second most common cause of death and one of the leading causes of
disability in industrialized countries. Among the 17.5 million deaths caused by …

Automatic classification of pulmonary diseases using a structural co-occurrence matrix

SA Peixoto, PPR Filho, N Arun Kumar… - Neural Computing and …, 2020 - Springer
Abstract The World Health Organization (WHO) estimates that 300 million people have
asthma and that this disease causes about 250 thousand deaths per year worldwide. The …

[HTML][HTML] Gaussian model based hybrid technique for infection level identification in TB diagnosis

KS Mithra, WRS Emmanuel - Journal of King Saud University-Computer …, 2021 - Elsevier
Tuberculosis (TB) is caused by mycobacterium tuberculosis, which is a common disease all
over the world that can be deadliest if not diagnosed at the early stages. Thus an accurate …

A steganography method using neural networks

AA Lopez-Hernandez… - IEEE Latin America …, 2020 - ieeexplore.ieee.org
This work proposes a method of steganography without embedding that uses an artificial
neural network (ANN) for subliminally communicating some sensitive information using …

Lung diseases classification by analysis of lung tissue densities

SSA Alves, E de Souza Rebouças… - IEEE Latin America …, 2020 - ieeexplore.ieee.org
Lung diseases identification based on analysis and processing of medical images is
important to assist medical doctors during the diagnosis process. In this context, this paper …

Segmentation and visualization of the lungs in three dimensions using 3D Region Growing and Visualization Toolkit in CT examinations of the chest

RVM da Nóbrega, MB Rodrigues… - 2017 IEEE 30th …, 2017 - ieeexplore.ieee.org
Computed tomography (CT) stands out among the exams used by computer-aided
diagnosis in medical imaging as it provides the visualization of internal organs such as the …