In the past years, a revolution took place in the world of technology and developed rapidly in
all areas, covering various aspects of life. One of the hottest topics that researchers work in …

The writer identification (WI) of handwritten Arabic text is now of great concern to intelligence
agencies following the recent attacks perpetrated by known Middle East terrorist …

Due to many new medical uses, the value of ECG classification is very demanding. There
are some Machine Learning (ML) algorithms currently available that can be used for ECG …

Purpose We developed a segmentation method suited for both raw (for processing) and
processed (for presentation) digital mammograms (DMs) that is designed to generalize …

In the last decade, the Facial Expression Recognition field has been studied widely and
become the base for many researchers, and still challenging in computer vision. Machine …

In recent years, breast cancer has caused death among women around the world. Detecting
breast cancer in the early stage helps to eradicate the survival rate to aid accurate medical …

BC (Breast cancer) is the second most common reason for women to die from cancer.
Recent workintroduced a model for BC classifications where input breast images were pre …

Examination timetabling is a discrete, multi-objective and combinatorial optimization
problem which tends to be solved with a cooperation of stochastic search approaches such …

Based on WHO's data, breast cancer is one of the most deadly diseases that has claimed
many victims, especially women. This disease begins with the presence of an undetected …

目的乳腺肿瘤分割对乳腺癌的辅助诊疗起着关键作用, 但现有研究大多集中在单中心数据的分割
上, 泛化能力不强, 无法应对临床的复杂数据. 因此, 本文提出一种语义拉普拉斯金字塔网络 …