Breast cancer is a crucial reason for death in females. Early recognition of this disease with
the assistance of mammography reduces the death rate. Deep learning (DL) is an approach …

Telehealth monitoring is an innovative process of synergising the benefits of information and
communication technologies (ICT) and Internet of Things (IoT) to deliver healthcare services …

随着组学技术的不断发展, 对于不同层次和类型的生物数据的获取方法日益成熟.
在疾病诊治过程中会产生大量数据, 通过机器学习等人工智能方法解析复杂, 多维 …

Breast cancer detection heavily relies on medical imaging, particularly ultrasound, for early
diagnosis and effective treatment. This research addresses the challenges associated with …

Breast cancer accounts for 16% of all cancers among females. Current early detection
methods are expensive or computationally complex and thus unsuitable for developing …

Breast cancer is the most commonly diagnosed life threatening cancer in women worldwide.
Breast cancer is the leading cause of cancer death among women. Early detection is of …

A number of clustering algorithms were used to analyze many databases in the field of
image clustering. The main objective of this research work was to perform a comparative …

Data Mining (DM) is a process of extracting patterns from large datasets to represent
knowledge, and focuses on issues related to its feasibility, usefulness, effectiveness and …

For women, most common cause of death is Breast tumour and in worldwide, it is the second
leading reason for cancer deaths. Due the requirement of breast cancer's early detection …

Breast malignant cancer is one of the most dangerous diseases that women suffer from. In
this research, Data Mining (DM) with machine learning (ML) and its various techniques were …