The artificial neural network (ANN) is a computer software design or model that simulates
the biological neural network of the human brain. Instead of biological neurons, ANN is …

Background: Because the incidence of endometrial cancer has been increasing every year,
it is important to identify an effective screening method for it. The endometrial cytology test …

Introduction Deep learning-based solutions for histological image classification have gained
attention in recent years due to their potential for objective evaluation of histological images …

Background An artificial-intelligence (AI) model for predicting the prognosis or mortality of
coronavirus disease 2019 (COVID-19) patients will allow efficient allocation of limited …

We developed a machine learning algorithm (MLA) that can classify human thyroid cell
clusters by exploiting both Papanicolaou staining and intrinsic refractive index (RI) as …

Objectives Cytomorphology is known to differ depending on the processing technique, and
these differences pose a problem for automated diagnosis using deep learning. We …

Artificial Intelligence (AI) is an emerging, transforming and revolutionary technology that has
captured attention worldwide. It is translating research into precision oncology treatments. AI …

Introduction: Deep learning is a subset of machine learning that has contributed to
significant changes in feature extraction and image classification and is being actively …

The assessment of polymorphonuclear leukocyte (PMN) proportions (%) of endometrial
samples is the hallmark for subclinical endometritis (SCE) diagnosis. Yet, a non-biased …

Background Intraoperative pathological diagnosis of central nervous system (CNS) tumours
is essential to planning patient management in neuro‐oncology. Frozen section slides and …