Breast cancer is a major research area in the medical image analysis field; it is a dangerous
disease and a major cause of death among women. Early and accurate diagnosis of breast …

Simple Summary Testicular cancer is a prevalent malignancy in young men aged 15 to 35
years. Sonoelastography is an emerging technique for distinguishing between non …

A growing number of individuals and organizations are turning to machine learning (ML)
and deep learning (DL) to analyze massive amounts of data and produce actionable …

Simple Summary The incidence of endocrine cancers (eg, thyroid, pancreas, and adrenal)
has been increasing; these cancers have a high premature mortality rate. Traditional …

With the help of machine learning, many of the problems that have plagued mammography
in the past have been solved. Effective prediction models need many normal and tumor …

There is a wide application of deep learning technique to unimodal medical image analysis
with significant classification accuracy performance observed. However, real-world …

A brain tumor is the growth of abnormal cells in certain brain tissues with a high mortality
rate; therefore, it requires high precision in diagnosis, as a minor human judgment can …

With the extensive applicability of machine learning classification algorithms to a wide
spectrum of domains, feature selection (FS) becomes a relevant data preprocessing …

Mastitis seriously reduces the welfare and milk yield of dairy cows and affects the economic
value of farms. Most dairy cow mastitis detection algorithms based on computer vision used …

Older people are increasingly dependent on others to support their daily activities due to
geriatric symptoms such as dementia. Some of them stay in long-term care facilities. Elderly …