New machine learning method for image-based diagnosis of COVID-19
COVID-19 is a worldwide epidemic, as announced by the World Health Organization (WHO)
in March 2020. Machine learning (ML) methods can play vital roles in identifying COVID-19 …
in March 2020. Machine learning (ML) methods can play vital roles in identifying COVID-19 …
Automated diagnosis of leukemia: a comprehensive review
Leukemia is the rapid production of abnormal white blood cells that consequently affects the
blood and damages the bone marrow. The overproduction of abnormal and immature white …
blood and damages the bone marrow. The overproduction of abnormal and immature white …
Comparison of artificial neural networks, fuzzy logic and neuro fuzzy for predicting optimization of building thermal consumption: a survey
Data Mining (DM) is a useful technique to discover useful patterns which lead to large
searches. This method offers a reliable treatment of all developmental phases from problem …
searches. This method offers a reliable treatment of all developmental phases from problem …
Fetal brain abnormality classification from MRI images of different gestational age
Magnetic resonance imaging (MRI) is a common imaging technique used extensively to
study human brain activities. Recently, it has been used for scanning the fetal brain …
study human brain activities. Recently, it has been used for scanning the fetal brain …
A survey of medical image classification techniques
Medical informatics is the study that combines two medical data sources: biomedical record
and imaging data. Medical image data is formed by pixels that correspond to a part of a …
and imaging data. Medical image data is formed by pixels that correspond to a part of a …
An automated glowworm swarm optimization with an inception-based deep convolutional neural network for COVID-19 diagnosis and classification
Recently, the COVID-19 epidemic has had a major impact on day-to-day life of people all
over the globe, and it demands various kinds of screening tests to detect the coronavirus …
over the globe, and it demands various kinds of screening tests to detect the coronavirus …
Fuzzy Logic Concepts, Developments and Implementation
R Saatchi - Information, 2024 - shura.shu.ac.uk
Over the past few decades, the field of fuzzy logic has evolved significantly, leading to the
development of diverse techniques and applications. Fuzzy logic has been successfully …
development of diverse techniques and applications. Fuzzy logic has been successfully …
Automatic counting of large mammals from very high resolution panchromatic satellite imagery
Estimating animal populations by direct counting is an essential component of wildlife
conservation and management. However, conventional approaches (ie, ground survey and …
conservation and management. However, conventional approaches (ie, ground survey and …
[HTML][HTML] StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images
Predicting fetal brain abnormalities (FBAs) is an urgent global problem, as nearly three of
every thousand women are pregnant with neurological abnormalities. Therefore, early …
every thousand women are pregnant with neurological abnormalities. Therefore, early …
Computer‐Aided Diagnosis of Acute Lymphoblastic Leukaemia
Leukaemia is a form of blood cancer which affects the white blood cells and damages the
bone marrow. Usually complete blood count (CBC) and bone marrow aspiration are used to …
bone marrow. Usually complete blood count (CBC) and bone marrow aspiration are used to …