In recent years, researches are concentrating on the effectiveness of Transfer Learning (TL)
and Ensemble Learning (EL) techniques in cervical histopathology image analysis …

Because cervical histopathology image analysis plays a very importation role in the cancer
diagnosis and medical treatment processes, since the 1980s, more and more effective …

Dengue endemicity has become regular in recent times across the world. The numbers of
cases and deaths have been alarmingly increasing over the years. In addition to this, there …

In recent years, deep learning methods have outperformed previous state-of-the-art machine
learning techniques for several problems, including image classification. Classifying cells in …

Pathogenic bacteria present a major threat to human health, causing various infections and
illnesses, and in some cases, even death. The accurate identification of these bacteria is …

Cancer has become a major threat to global health care. With the development of computer
science, artificial intelligence (AI) has been widely applied in histopathological images (HI) …

Cervical cancer is one of the prevalent and lethal diseases in women which can be
prevented if routine screenings are conducted to find premalignant lesions at an initial stage …

It is a challenging task to estimate the cancerous cells and tissues via computer-aided
diagnosis systems on high-resolution histopathological images. In this study, it is suggested …

To apply topological information to solve a cervical histopathology image clustering (CHIC)
problem, a graph based unsupervised learning (GBUL) approach is proposed in this paper …

In recent years, deep learning methods have outperformed previous state-of-the-art machine
learning techniques for several problems, including image classification. Classifying cells in …