An Overview: Segmentation Method for Blood Cell Disorders

Abstract

Abstract-Blood make up of 45% blood cells and 55% plasma. Blood cells consist of red blood cell (RBC), white blood cell (WBC) and platelet (thrombocytes). Each of the cells has the role to carry oxygen and carbon dioxide in the blood, work as an antibody and function for clot mechanism. Complete blood count (CBC) is done to measure all of the blood cells and including hematocrit and hemoglobin. Any abnormal reading which beyond the normal reading is considered blood cell disorder like leukimia, aplastic anemia, and others. Many analyzing methods has been developed to give a precise and reliable reading for CBC such as flow cythometric immunophenotyping, manual blood reading, blood smear, segmentation and others. Segmentation is among the best way for analyzing in term of cost effective and time consuming compared to other methods. A continuous improvement for 3D image segmentation will lead to a better result in the future.

Automated Extraction and Analysis of CBC Test from Scanned Images

“…If a count falls either above or below the typical range, the physician will seek to understand the reason behind these atypical results. Table 1 shows the rough standard ranges for blood cell counts in healthy adults [9]. This research paper focuses on the use of the CBC test normal range as a tool to diagnose abnormality in the given blood test with the use of technology and to aid doctors in interpreting the results and give appropriate advice to the patients.…”

“…Normal blood count for men and women[9].Optical Character Recognition (OCR) has been developed as a transformative tool in converting printed or handwritten text into digital formats, facilitating data entry, storage, and manipulation across various sectors. It was initially developed to convert typewritten text into machine-encoded text.…”