[Retracted] Global Increase in Breast Cancer Incidence: Risk Factors and Preventive Measures
Breast cancer is a global cause for concern owing to its high incidence around the world.
The alarming increase in breast cancer cases emphasizes the management of disease at …
The alarming increase in breast cancer cases emphasizes the management of disease at …
Early diagnosis of brain tumour mri images using hybrid techniques between deep and machine learning
EM Senan, ME Jadhav, TH Rassem… - … Methods in Medicine, 2022 - Wiley Online Library
Cancer is considered one of the most aggressive and destructive diseases that shortens the
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …
Eye tracking-based diagnosis and early detection of autism spectrum disorder using machine learning and deep learning techniques
Eye tracking is a useful technique for detecting autism spectrum disorder (ASD). One of the
most important aspects of good learning is the ability to have atypical visual attention. The …
most important aspects of good learning is the ability to have atypical visual attention. The …
Machine learning augmented interpretation of chest X-rays: a systematic review
HK Ahmad, MR Milne, QD Buchlak, N Ektas… - Diagnostics, 2023 - mdpi.com
Limitations of the chest X-ray (CXR) have resulted in attempts to create machine learning
systems to assist clinicians and improve interpretation accuracy. An understanding of the …
systems to assist clinicians and improve interpretation accuracy. An understanding of the …
TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images
Abstract The novel coronavirus (COVID-19), has undoubtedly imprinted our lives with its
deadly impact. Early testing with isolation of the individual is the best possible way to curb …
deadly impact. Early testing with isolation of the individual is the best possible way to curb …
CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays
The rapid outbreak of COVID-19 has affected the lives and livelihoods of a large part of the
society. Hence, to confine the rapid spread of this virus, early detection of COVID-19 is …
society. Hence, to confine the rapid spread of this virus, early detection of COVID-19 is …
High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms
We aimed to construct a prediction model based on computed tomography (CT) radiomics
features to classify COVID-19 patients into severe-, moderate-, mild-, and non-pneumonic. A …
features to classify COVID-19 patients into severe-, moderate-, mild-, and non-pneumonic. A …
COVID-19 chest X-ray detection through blending ensemble of CNN snapshots
A Banerjee, A Sarkar, S Roy, PK Singh… - … Signal Processing and …, 2022 - Elsevier
The novel COVID-19 pandemic, has effectively turned out to be one of the deadliest events
in modern history, with unprecedented loss of human life, major economic and financial …
in modern history, with unprecedented loss of human life, major economic and financial …
Multi-method diagnosis of CT images for rapid detection of intracranial hemorrhages based on deep and hybrid learning
Intracranial hemorrhaging is considered a type of disease that affects the brain and is very
dangerous, with high-mortality cases if there is no rapid diagnosis and prompt treatment. CT …
dangerous, with high-mortality cases if there is no rapid diagnosis and prompt treatment. CT …
Multi-method diagnosis of blood microscopic sample for early detection of acute lymphoblastic leukemia based on deep learning and hybrid techniques
Leukemia is one of the most dangerous types of malignancies affecting the bone marrow or
blood in all age groups, both in children and adults. The most dangerous and deadly type of …
blood in all age groups, both in children and adults. The most dangerous and deadly type of …