论文信息 - An Effective Leukemia Prediction Technique Using Supervised Machine Learning Classification Algorithm - 字舞流文

An Effective Leukemia Prediction Technique Using Supervised Machine Learning Classification Algorithm

Ashir Ahmed | Swakkhar Shatabda | Salekul Islam | A. K. M. Muzahidul Islam | Md. Moshiur Rahman | Mohammad Akter Hossain | Mubtasim Islam Sabik | Shadikun Nahar Sakiba | A.K.M. Muzahidul Islam | Md. Moshiur Rahman | Salekul Islam | Swakkhar Shatabda | Salekul Islam | Ashir Ahmed | Mohammad Akter Hossain | M. A. Hossain | A. M. Muzahidul Islam

[1] G. Parmigiani,et al. Detection of Chromosomal Alterations in the Circulation of Cancer Patients with Whole-Genome Sequencing , 2012, Science Translational Medicine.

[2] S. Osowski,et al. Automatic recognition of the blood cells of myelogenous leukemia using SVM , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

[3] Jaya Sharma,et al. Identification and classification of acute leukemia using neural network , 2014, 2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom).

[4] Peter Kuhn,et al. High speed detection of circulating tumor cells. , 2006, Biosensors & bioelectronics.

[5] Nicola Torelli,et al. ROSE: a Package for Binary Imbalanced Learning , 2014, R J..

[6] Beverly George-Gay,et al. Understanding the complete blood count with differential. , 2003, Journal of perianesthesia nursing : official journal of the American Society of PeriAnesthesia Nurses.

[7] Sarita Joshi,et al. Videos in clinical medicine. Bone marrow aspiration and biopsy. , 2009, The New England journal of medicine.

[8] Hans Erik Johnsen,et al. Prediction of haemorrhage in the early stage of acute myeloid leukaemia by flow cytometric analysis of platelet function , 2005, British journal of haematology.

[9] Dipti Patra,et al. Automated leukemia detection using hausdorff dimension in blood microscopic images , 2010, INTERACT-2010.