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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%.<\/jats:p>","DOI":"10.1155\/2021\/7488025","type":"journal-article","created":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T19:23:04Z","timestamp":1620069784000},"page":"1-7","source":"Crossref","is-referenced-by-count":6,"title":["Efficient Segmentation of Lymphoblast in Acute Lymphocytic Leukemia"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8966-6690","authenticated-orcid":true,"given":"Syed Ijaz","family":"Ur Rahman","sequence":"first","affiliation":[{"name":"Department of Computer Science, Islamia College University Peshawar, Peshawar, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4184-9118","authenticated-orcid":true,"given":"Misbah","family":"Jadoon","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Women University Swabi, Khyber Pakhtunkhwa, Swabi 23430, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2753-8615","authenticated-orcid":true,"given":"Sikandar","family":"Ali","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, China University of Petroleum, Beijing 102249, China"},{"name":"Beijing Key Lab of Petroleum Data Mining, China University of Petroleum, Beijing 102249, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7847-5127","authenticated-orcid":true,"given":"Hizbullah","family":"Khattak","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Hazara University Mansehra, Khyber Pakhtunkhwa, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5220-6703","authenticated-orcid":true,"given":"Jiwei","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, China University of Petroleum, Beijing 102249, China"},{"name":"Beijing Key Lab of Petroleum Data Mining, China University of Petroleum, Beijing 102249, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1002\/jemt.22994"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1007\/s13534-017-0050-3"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1002\/jemt.22867"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1002\/jemt.22961"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1002\/jemt.23094"},{"issue":"5","key":"6","first-page":"1801","article-title":"Nuclei segmentation of leukocytes in blood smear digital images","volume":"28","author":"A. 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