Computer Assisted Classification Framework for Detection of Acute Myeloid Leukemia in Peripheral Blood Smear Images
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-6067-5_45
Reference17 articles.
1. H. Cao, H. Liu, E. Song, A novel algorithm for segmentation of leukocytes in peripheral blood. Elsevier, J. Biomed. Signal Proc. Control 45, 10–21 (2018)
2. J. Rawat, A.P. Singh, Computer assisted classification framework for prediction of acute lymphoblastic and acute myeloblastic leukemia. Elsevier, J. Bio-Cybern. Biomed. Eng. 37(4), 637–654 (2017)
3. F. Kazemi, Automatic recognition of acute myelogenous leukemia in blood microscopic images using K-means clustering and support vector machine. J. Med. Signals Sensors 6, 183–193 (2016)
4. P. Jagadev, H.G. Virani, Detection of leukemia and its types using image processing and machine learning, in International Conference on Trends in Electronics and Informatics (2017)
5. S. Begum, R. Sarkar, Data classification using feature selection and kNN machine learning approach, in International Conference on Computational Intelligence and Communication Networks, pp. 811–814 (2015)
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