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Qualitative Abnormalities of Peripheral Blood Smear Images Using Deep Learning Techniques
2023
Intelligent Automation and Soft Computing
In recent years, Peripheral blood smear is a generic analysis to assess the person's health status. Manual testing of Peripheral blood smear images are difficult, time-consuming and is subject to human intervention and visual error. This method encouraged for researchers to present algorithms and techniques to perform the peripheral blood smear analysis with the help of computer-assisted and decision-making techniques. Existing CAD based methods are lacks in attaining the accurate detection of
doi:10.32604/iasc.2023.028423
fatcat:m7qqutfoibh7teetwcq2sww5l4