Image Processing Techniques for Acute Leukaemia Detection
Abstract:Every year a lot of people are diagnosed with blood cancer. This disease has a high mortality rate due to late and incorrect diagnoses. Acute leukaemia diagnosis requires an automated solution to facilitate early detection. This is one of the challenging problems and several machine learning techniques are proposed in recent years, however, image analysis using blood smear images remains the easiest and efficient technique to detect acute leukaemia. This study provides a literature review of the research work … Show more
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