In today's digital world, effectively transferring data from one point to another is an important
problem. For this reason, the development of various new compression algorithms and …

Simple Summary This study included 227 patients, among whom 27.7%(63/227) were
diagnosed with tumors spread through air spaces (STASs), which have been shown to be …

Congenital heart disease (CHD) is a severe health risk for newborns. Early detection of
abnormalities in fetal cardiac structure and function during pregnancy can help patients seek …

Microscopic cell detection is a challenging task due to significant inter-cell occlusions in
dense clusters and diverse cell morphologies. This paper introduces a novel framework …

The nuclear envelope (NE) is a critical component in maintaining the function and structure
of the eukaryotic nucleus. The NE and lamina are disassembled during each cell cycle to …

Whole slide imaging (WSI) of Hematoxylin and Eosin-stained biopsy specimens has been
used to predict chemoradiotherapy (CRT) response and overall survival (OS) of esophageal …

As machine learning progresses, techniques such as neural networks, decision trees, and
support vector machines are being increasingly applied in the medical domain, especially …

Objective To create a deep learning (DL) model that can accurately detect and classify three
distinct types of rat dorsal root ganglion neurons: normal, segmental chromatolysis, and …

The automatic detection of bone marrow (BM) cell diseases plays a vital role in the medical
field; it helps to make diagnoses more precise and effective, which leads to early detection …

Cytomorphology evaluation of bone marrow cell is the initial step to diagnose different
hematological diseases. This assessment is still manually performed by trained specialists …