[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 …
Computer vision for microscopic skin cancer diagnosis using handcrafted and non‐handcrafted features
T Saba - Microscopy Research and Technique, 2021 - Wiley Online Library
Skin covers the entire body and is the largest organ. Skin cancer is one of the most dreadful
cancers that is primarily triggered by sensitivity to ultraviolet rays from the sun. However, the …
cancers that is primarily triggered by sensitivity to ultraviolet rays from the sun. However, the …
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 …
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 …
Fully‐automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG)
IJ Hussein, MA Burhanuddin, MA Mohammed… - Expert …, 2022 - Wiley Online Library
Ultrasound imaging (US) is one of the most common diagnostic imaging tools for producing
images of the human body in clinical practice. This work is devoted to studying ultrasound …
images of the human body in clinical practice. This work is devoted to studying ultrasound …
Hybrid segmentation method with confidence region detection for tumor identification
Segmentation methods can mutually exclude the location of the tumor. However, the
challenge of complex location or incomplete identification is located in segmentation …
challenge of complex location or incomplete identification is located in segmentation …
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 …
Cancer diagnosis using artificial intelligence: a review
KA Shastry, HA Sanjay - Artificial Intelligence Review, 2022 - Springer
Artificial intelligence (AI) is the usage of scientific techniques to simulate human intellectual
skills and to tackle complex medical issues involving complicated genetic defects such as …
skills and to tackle complex medical issues involving complicated genetic defects such as …
Automatic lung infection segmentation of covid-19 in CT scan images
As 2020 has come to an end, the world is still plagued by the coronavirus, or COVID-19. The
coronavirus started in late 2019. In the past year, the whole world has been infected with this …
coronavirus started in late 2019. In the past year, the whole world has been infected with this …
Precise segmentation techniques in various medical images
Today numerous imaging systems are utilized in medical treatment. There are a variety of
imaging techniques for the diagnosis of brain tumors, lung nodules and liver tumors and …
imaging techniques for the diagnosis of brain tumors, lung nodules and liver tumors and …