Object With the development of deep learning, the number of training samples for medical
image-based diagnosis and treatment models is increasing. Generative Adversarial …

Artificial intelligence (AI) relies on data and algorithms. State-of-the-art (SOTA) AI smart
algorithms have been developed to improve the performance of AI-oriented structures …

The survival rate of cervical cancer can be improved by the early screening. However, the
screening is a heavy task for pathologists. Thus, automatic cervical cell classification model …

Various deep learning (DL) models are widely applied in medical image analysis, and their
performance depends on the scale and diversity of available training data. However …

Generative data augmentation (GDA) has emerged as a promising technique to alleviate
data scarcity in machine learning applications. This thesis presents a comprehensive survey …

Accurate cell segmentation is a pivotal step throughout the cervical cancer treatment
continuum, encompassing early screening, guiding treatment decisions, and assessing long …

Cell microscopy is the main tool that allows researchers to study microorganisms and plays
a key role in observing and understanding the morphology, interactions, and development of …

The fourth most common form of cancer among women is cervical cancer with 569,847 new
cases and 311,365 reported deaths worldwide in 2018. Cervical cancer is classified as the …

Computer-assisted systems have been widely used as tools to support medical experts in
various fields, including the analysis of cervical cytology. However, due to patient privacy …

Cervical cancer is one of the most common types of cancer found in females. It contributes to
6-29% of all cancers in women. It is caused by the Human Papilloma Virus (HPV). The 5 …