Cervical cancer is known as a major health problem globally, with high mortality as well as
incidence rates. Over the years, there have been significant advancements in cervical …

Introduction Colposcopy is a medical procedure for detecting cervical lesions. Access to
devices required for colposcopy procedures is limited in low-and middle-income countries …

Cervical cancer remains a significant cause of mortality in low-income countries. However, it
can often be cured by removing the affected tissues when detected in early stages …

Automatic acetowhite lesion segmentation in colposcopy images (cervigrams) is essential in
assisting gynecologists for the diagnosis of cervical intraepithelial neoplasia grades and …

Video streams are utilised to guide minimally-invasive surgery and diagnosis in a wide
range of procedures, and many computer-assisted techniques have been developed to …

Specular Reflections often exist in the endoscopic image, which not only hurts many
computer vision algorithms but also seriously interferes with the observation and judgment …

The book will focus on the applications of machine learning for sustainable development.
Machine learning (ML) is an emerging technique whose diffusion and adoption in various …

There is a critical requirement for detecting cervical lesions through colposcopic images in
computer-aided diagnosis. Compared to images from natural scenes, colposcopic images …

Visual inspection with acetic acid (VIA) is an effective, affordable and simple test for cervical
cancer screening in resource-poor settings. But considerable expertise is needed to …

Evidence from recent research shows that automatic visual evaluation (AVE) of
photographic images of the uterine cervix using deep learning-based algorithms presents a …