[HTML][HTML] Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges
T Saba - Journal of infection and public health, 2020 - Elsevier
Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of
pathological changes. Cancerous cells are abnormal areas often growing in any part of …
pathological changes. Cancerous cells are abnormal areas often growing in any part of …
Artificial intelligence in brain tumor detection through MRI scans: advancements and challenges
A brain tumor is one of the most perilous diseases in human beings. The manual
segmentation of brain tumors is costly and takes a lot of time; due to this reason, automated …
segmentation of brain tumors is costly and takes a lot of time; due to this reason, automated …
Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification
Image processing plays a major role in neurologists' clinical diagnosis in the medical field.
Several types of imagery are used for diagnostics, tumor segmentation, and classification …
Several types of imagery are used for diagnostics, tumor segmentation, and classification …
Brain tumor detection and multi‐classification using advanced deep learning techniques
A brain tumor is an uncontrolled development of brain cells in brain cancer if not detected at
an early stage. Early brain tumor diagnosis plays a crucial role in treatment planning and …
an early stage. Early brain tumor diagnosis plays a crucial role in treatment planning and …
An efficient deep learning approach to automatic glaucoma detection using optic disc and optic cup localization
Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …
Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning
Retinal fundus image analysis (RFIA) for diabetic retinopathy (DR) screening can be used to
reduce the risk of blindness among diabetic patients. The RFIA screening programs help the …
reduce the risk of blindness among diabetic patients. The RFIA screening programs help the …
Artificial intelligence techniques for glaucoma detection through retinal images: State of the art
A Shoukat, S Akbar - Artificial Intelligence and Internet of Things, 2021 - taylorfrancis.com
The glaucoma is a retinal disease that causes permanent blindness if not detected earlier.
The asymptotic nature of glaucoma is a big hurdle in the early-stage diagnosis. The …
The asymptotic nature of glaucoma is a big hurdle in the early-stage diagnosis. The …
An automated early detection of glaucoma using support vector machine based visual geometry group 19 (VGG-19) convolutional neural network
Deep learning is a useful technique for investigating the medicinal images. Glaucoma is a
neurotic condition, dynamic neuro degeneration of the optic nerve, which leads visual …
neurotic condition, dynamic neuro degeneration of the optic nerve, which leads visual …
A fast and accurate method for glaucoma screening from smartphone-captured fundus images
The glaucoma is an eye disease that causes blindness when it progresses in an advanced
stage. Early glaucoma diagnosis is essential to prevent the vision loss. However, early …
stage. Early glaucoma diagnosis is essential to prevent the vision loss. However, early …
Predictive models of hospital readmission rate using the improved AdaBoost in COVID-19
A Raftarai, RR Mahounaki, M Harouni… - … for COVID-19, 2021 - taylorfrancis.com
In 2019, an unknown virus called COVID-19 was identified, which affected all aspects of life
in the world. With the outbreak of this virus, the need for health services became more and …
in the world. With the outbreak of this virus, the need for health services became more and …