Utilizing Artificial Vision in Blood Cell Analysis: A Systematic Literature Review
Abstract
Automating the recognition and classification of blood cells makes it easier for physicians to diagnose various blood diseases by analyzing their characteristics. Several researches have developed various algorithms that employ deep learning methods, specifically Neural Networks, to classify the various types of blood cells. Therefore, this research work presents a systematic review on the topic of the Use of Neural Networks in the Analysis of Peripheral Blood Cell Smears.
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References
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Copyright (c) 2024 Luis Francisco Perez Guillen, Manuel de Jesús Matuz Cruz, Julia Yazmín Arana Llanes, Jorge Martín Guzmán Albores, María Soledad Peralta González , Noé González Cárdenas
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