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 …
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
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
diagnosis in medical imaging as it provides the visualization of internal organs such as the …