Anemia is a blood disorder which is caused due to inadequate red blood cells and
hemoglobin concentration. It occurs in all phases of life cycle but is more dominant in …

Blood cell detection can be considered as a gold standard key in diagnosing blood disease
and can produce an automatic report to hematologists and doctors. Blood cell detection can …

Classification of the morphology of red blood cells (RBCs) plays an extremely important role
in evaluating the quality of long‐term stored blood, as RBC storage lesions such as …

In this work we propose an approach to select the classification method and features, based
on the state-of-the-art, with best performance for diagnostic support through peripheral blood …

Introduction: Hematologists analyze microscopic images of red blood cells to study their
morphology and functionality, detect disorders and search for drugs. However, accurate …

This paper discusses about methods for detection of leukemia. Various image processing
techniques are used for identification of red blood cell and immature white cells. Different …

Since many diseases and infections are dependent on the count and type of Red Blood
Cells (RBCs) and White Blood Cells (WBCs) present in the blood stream, detection and …

Classifying benign and malignant lung nodules is an important task in the diagnosis of lung
cancer. In this study, lung nodules are classified based on deep learning features. A deep …

The analysis of pathophysiological change to erythrocytes is important for early diagnosis of
anaemia. The manual assessment of pathology slides is time-consuming and complicated …

Blood serves as an indicator of health, a complete blood count (CBC) provides the clinician
a view of the blood components. Diagnosis of the shape of RBC contributes information …