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Non-coding RNAs as biomarkers of myocardial infarction
(
Elsevier
, 2023 , Article)
Non-coding RNAs (ncRNAs) encompass a family of ubiquitous RNA molecules that lack protein-coding potential and have tissue-specific expression. A significant body of evidence indicates that ncRNA's aberrant expression plays ...
Dental caries detection using a semi-supervised learning approach
(
Nature Research
, 2023 , Article)
Early diagnosis of dental caries progression can prevent invasive treatment and enable preventive treatment. In this regard, dental radiography is a widely used tool to capture dental visuals that are used for the detection ...
Editorial: Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC)
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Machine learning (ML) is the subcategory of artificial intelligence (AI), which has the capability to imitate human behavior intelligently as per the task performed by the human. In the modern time, any organization ...
Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Coronavirus disease 2019 (COVID-19) has rapidly become a global health concern after its first known detection in December 2019. As a result, accurate and reliable advance warning system for the early diagnosis of COVID-19 ...
Accuracy of the American Association of Endodontists diagnostic criteria for assessing pulp health in primary teeth
(
Springer Science and Business Media Deutschland GmbH
, 2023 , Article)
Objectives
There is a lack of studies evaluating the accuracy of the 2009 American Association of Endodontists (AAE) diagnostic criteria for diagnosing pulpal health in primary teeth. This study aimed to estimate and ...
Color-based Fuzzy Classifier for automated detection of cancerous cells in histopathological analysis
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
In usual clinical practice, grading of cancer tissues is often done by an expert histopathologist based on their analysis of micro-level architectural features of the cancerous tissue specimen as well as level of presence ...
Blind restoration of fluorescein angiography images
(
IEEE
, 2010 , Conference Paper)
In this paper, a new technique is presented to enhance the blurred images obtained from Fluorescein Angiography (FA) of the retina. One of the main steps in inspecting the eye (especially the deeper image of retina) is to ...
Convolutional Sparse Support Estimator-Based COVID-19 Recognition from X-Ray Images
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Coronavirus disease (COVID-19) has been the main agenda of the whole world ever since it came into sight. X-ray imaging is a common and easily accessible tool that has great potential for COVID-19 diagnosis and prognosis. ...
Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning
(
Elsevier
, 2023 , Article)
Chronic lymphocytic leukemia (CLL) is a B cell neoplasm characterized by the accumulation of aberrant monoclonal B lymphocytes. CLL is the predominant type of leukemia in Western countries, accounting for 25% of cases. ...
An automated robust segmentation method for intravascular ultrasound images
(
World Scientific Publishing Co.
, 2014 , Book chapter)
It is widely known that the state of a patient's coronary heart disease can be better assessed using intravascular ultrasound (IVUS) than with more conventional angiography. Recent work has shown that segmentation and 3D ...