Abstract Background and Objective Early diagnosis and classification of a cancer type can
help facilitate the subsequent clinical management of the patient. Cervical cancer ranks as …

Computational cytology is a critical, rapid-develo**, yet challenging topic in medical
image computing concerned with analyzing digitized cytology images by computer-aided …

Computer-assisted diagnosis is key for scaling up cervical cancer screening. However,
current recognition algorithms perform poorly on whole slide image (WSI) analysis, fail to …

Background Automatic and reliable characterization of cells in cell cultures is key to several
applications such as cancer research and drug discovery. Given the recent advances in light …

The use of deep learning (DL) for the analysis and diagnosis of biomedical and health care
problems has received unprecedented attention in the last decade. The technique has …

Cancer is a fatal illness frequently caused by a variety of obsessive changes and genetic
disorders. Cancer cells knowing as abnormal cells can grow in any part of the human body …

Over the past few years, we have seen fundamental breakthroughs in core problems in
machine learning, largely driven by advances in deep neural networks. At the same time, the …

Wireless Capsule Endoscopy (WCE) is a standard non-invasive modality for small bowel
examination. Recently, the development of computer-aided diagnosis (CAD) systems for …

In computer vision, traditional machine learning (TML) and deep learning (DL) methods
have significantly contributed to the advancements of medical image analysis (MIA) by …

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