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Analysis of red blood cells from peripheral blood smear images for anemia detection: a methodological review
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 …
hemoglobin concentration. It occurs in all phases of life cycle but is more dominant in …
[PDF][PDF] Blood cell microscopic image classification in computer aided diagnosis using machine learning: a review
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 …
and can produce an automatic report to hematologists and doctors. Blood cell detection can …
Sickle-cell disease diagnosis support selecting the most appropriate machine learning method: Towards a general and interpretable approach for cell morphology …
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 …
on the state-of-the-art, with best performance for diagnostic support through peripheral blood …
Leukemia detection using digital image processing techniques
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 …
techniques are used for identification of red blood cell and immature white cells. Different …
Automatic classification of red blood cell morphology based on quantitative phase imaging
M Jiang, M Shao, X Yang, L He, T Peng… - … Journal of Optics, 2022 - Wiley Online Library
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 evaluating the quality of long‐term stored blood, as RBC storage lesions such as …
RedTell: an AI tool for interpretable analysis of red blood cell morphology
Introduction: Hematologists analyze microscopic images of red blood cells to study their
morphology and functionality, detect disorders and search for drugs. However, accurate …
morphology and functionality, detect disorders and search for drugs. However, accurate …
Faster R-CNN model with momentum optimizer for RBC and WBC variants classification
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 …
Cells (RBCs) and White Blood Cells (WBCs) present in the blood stream, detection and …
[PDF][PDF] Digital image processing techniques for leukemia detection
This paper presents a methodology for the detection of leukemia using various digital image
processing techniques. By identifying and analyzing red blood cells and immature white …
processing techniques. By identifying and analyzing red blood cells and immature white …
An ensemble rule learning approach for automated morphological classification of erythrocytes
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 …
anaemia. The manual assessment of pathology slides is time-consuming and complicated …
Benign and malignant lung nodule classification based on deep learning feature
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 …
cancer. In this study, lung nodules are classified based on deep learning features. A deep …