Blood Cancer Detection and Classification using Deep Learning
DOI:
https://doi.org/10.48001/978-81-966500-2-5-4Keywords:
Illness, Categorizing blood, Inspecting human, Prompter MedicalAbstract
Blood cancer-related diagnosis and analysis is still a difficult and time-consuming procedure. In the last ten years, many methods have been developed for the detection, analysis, and classification of blood cancer; nevertheless, no model or approach now in use completely automates the process of examining human blood cells to detect the presence of cancer. The development of this type of an automated system could revolutionize the identification and prevention of disease, greatly speeding up and enhancing the accuracy of medical diagnostics. A retrospective of the developments in research toward this objective is given in this chapter.
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