Subrajeet Mohapatra

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Pathological image analysis plays a significant role in effective disease diagnostics. Quantitative microscopy has supplemented clinicians with accurate results for diagnosis of dreaded diseases such as leukemia, hepatitis, AIDS, psoriasis. In this paper we present a texture based approach for automated leukemia detection. Acute lymphocytic leukemia (ALL)(More)
Leukemia is a malignant neoplasm of the blood or bone marrow that affects both children and adults and remains a leading cause of death around the world. Acute lymphoblastic leukemia (ALL) is the most common type of leukemia and is more common among children and young adults. ALL diagnosis through microscopic examination of the peripheral blood and bone(More)
In real clinical trial there is no substitute for final assessment of any disease independent of diagnostic test. Diagnostic hematology is a speciality that deals with the understanding of the essential pathological processes of the blood through appropriate morphological or biochemical analysis. Microscopic analysis of peripheral blood and bone marrow by a(More)
Blood microscopic image segmentation is a fundamental tool for automated diagnosis of hematological disorders. In particular, lymphoblast image segmentation acts as the foundation for all image based leukemia diagnostic system. Precision in image segmentation is a necessary condition for improving the diagnostic accuracy in automated cytology. Since the(More)
Since noise smoothing and image enhancement are conflicting objectives in most image processing application, so it has to be dealt properly to preserve the quality of the image. The perceptual appearance of an image may be significantly improved by modifying the high frequency components to have better edge and detail information in the image. A simple(More)
Hematological disorders are mostly identified based on characterization of blood parameters i.e. erythrocytes, leukocytes and platelets. Microscopic examination of leukocytes in blood slides is the most frequent laboratory investigation performed for malignancy detection. Hematological examination of blood is an indispensable technique still today and(More)
Acute lymphoblastic leukemia (ALL) is an serious hematological neoplasia of childhood which is characterized by abnormal growth and development of immature white blood cells (lymphoblasts). ALL makes around 80% of childhood leukemia and it mostly occur in the age group of 3–7. The nonspecific nature of the signs and symptoms of ALL often leads to(More)
Leukocyte image segmentation acts as the foundation for all automated image based hematological disease recognition systems. Perfection in image segmentation is a necessary condition for improving the diagnostic accuracy in automated cytology. Even though much effort has been put in developing suitable segmentation routines, the problem still remains open(More)