Efficient Segmentation of Lymphoblast in Acute Lymphocytic Leukemia
| Autor: | Syed Ijaz ur Rahman, Misbah Jadoon, Hizbullah Khattak, Sikandar Ali, Jiwei Huang |
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| Rok vydání: | 2021 |
| Předmět: |
Pathology
medicine.medical_specialty Article Subject 02 engineering and technology HSL and HSV QA76.75-76.765 03 medical and health sciences 0302 clinical medicine Region of interest Acute lymphocytic leukemia 0202 electrical engineering electronic engineering information engineering Medicine Segmentation Computer software business.industry Lymphoblast 030206 dentistry medicine.disease Peripheral blood Computer Science Applications Immature Lymphocyte medicine.anatomical_structure 020201 artificial intelligence & image processing Bone marrow business Software |
| Zdroj: | Scientific Programming, Vol 2021 (2021) |
| ISSN: | 1875-919X 1058-9244 |
| DOI: | 10.1155/2021/7488025 |
| Popis: | Microscopic examination of peripheral blood smears and bone marrow is the preliminary step for the diagnosis of several life-threatening diseases. Acute lymphocytic leukemia (ALL) is the most common disease in children that also needs an early diagnosis for on-time treatment as it spreads rapidly in the blood and forms immature lymphocytes. This might cause death in some weeks if left untreated. Manual methods in clinical laboratory being applied for the diagnosis of these diseases are inefficient and expensive, and the results are less accurate. A computer-aided system is the need of the day in which the most important step is segmenting the region of interest in blood or bone marrow for the detection and cure of the diseases which is the most challenging task. This study aims to propose a simple threshold-based segmentation technique by processing the S component of the HSV color space to segment the lymphoblasts in the bone marrow images of ALL patients. The technique was applied to 230 RGB bone marrow images having all the three types of ALL, i.e., L1, L2, and L3 resulted in the overall accuracy of 96.8%. |
| Databáze: | OpenAIRE |
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