WT-MO Algorithm: Automated Hematological Software Based on the Watershed Transform for Blood Cell Count

Visual examination of blood smears is an essential tool for analysis, prevention, and remediation of several types of maladies. The interest of computer-aided decision has been acknowledged in many medicinal instances (e.g., automatic ways and means are being explored to spot, classify, and measure visual items in hematological cytology [HC]). This chapter proposes an entirely automated blood smear diagnosis system for hemograms, which can lessen the time spent to scrutinize a slide. The present framework relies on morphological operations (MOs) and soft segmentation by means of the watershed transform (WT). Experiments demonstrate the method efficacy to count white blood cells (WBCs) and red blood cells (RBCs). Some considerations about implementations, design advice and possible variants, as well as improvements are discussed. The future of automated medical analysis is contemplated. WT-MO Algorithm: Automated Hematological Software Based on the Watershed Transform for Blood Cell Count

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