Malaria parasitemia diagnosis and grading is hard and still far from perfection. Inaccurate
diagnosis and grading has caused tremendous deaths rate particularly in young children …

Splitting the rouleaux RBCs from single RBCs and its further subdivision is a challenging
area in computer‐assisted diagnosis of blood. This phenomenon is applied in complete …

A segmentation model of the ultrasound (US) images of breast tumors based on virtual
agents trained using reinforcement learning (RL) is proposed. The agents, living in the edge …

Abstract Information patterns are ubiquitous and their automatic detection is fundamental in
many computer vision tasks. Robust and fast detection of object candidates is essential as …

Abstract Occluded Red Blood Cells are observed frequently in the thin blood smear digital
images. Separating the occluded Red Blood Cells from the single Red Blood Cells and …

The main purpose of this study is to employ the modern technologies and techniques to
semi-automate the quantification process of the Red Blood Cells in Microscopic thin blood …

ABSTRACT Clustered Red Blood Cells are observed very frequently in the thin blood smear
digital images. Separating clustered Red Blood Cells from the single Red Blood Cells and …

The majority of any temporal data model is claimed to be superset of the conventional
relational data model as well as it has the ability to be represented in the main temporal data …

The Erythrocytes counting is part of the complete blood count test and is frequently
suggested by the Physician to know the number of Erythrocytes in the patient's body. At …

Splitting the rouleaux RBCs from single RBCs and its further subdivision is a challenging
area in computer-assisted diagnosis of blood. This phenomenon is applied in complete …