Feature extraction using traditional image processing and convolutional neural network methods to classify white blood cells: a study

作者: Roopa B. Hegde , Keerthana Prasad , Harishchandra Hebbar , Brij Mohan Kumar Singh

DOI: 10.1007/S13246-019-00742-9

关键词: Image processingFeature (computer vision)Sensitivity (control systems)Convolutional neural networkFeature extractionArtificial neural networkPattern recognitionDeep learningGold standard (test)Computer scienceArtificial intelligence

摘要: … traditional image processing approach and CNN as a feature generator approach for classification of WBCs. We extracted shape, color and texture features using traditional image …

参考文章(29)
N. Sinha, A.G. Ramakrishnan, Automation of differential blood count ieee region 10 conference. ,vol. 2, pp. 547- 551 ,(2003) , 10.1109/TENCON.2003.1273221
Salim Arslan, Emel Ozyurek, Cigdem Gunduz-Demir, A color and shape based algorithm for segmentation of white blood cells in peripheral blood and bone marrow images. Cytometry Part A. ,vol. 85, pp. 480- 490 ,(2014) , 10.1002/CYTO.A.22457
PS SDC, Hiremath, Parashuram Bannigidad, Sai Geeta, None, Automated Identification and Classification of White Blood Cells (Leukocytes) in Digital Microscopic Images International Journal of Computer Applications. pp. 59- 63 ,(2010)
Jaroonrut Prinyakupt, Charnchai Pluempitiwiriyawej, Segmentation of white blood cells and comparison of cell morphology by linear and naïve Bayes classifiers Biomedical Engineering Online. ,vol. 14, pp. 63- 63 ,(2015) , 10.1186/S12938-015-0037-1
Seyed Hamid Rezatofighi, Hamid Soltanian-Zadeh, Automatic recognition of five types of white blood cells in peripheral blood Computerized Medical Imaging and Graphics. ,vol. 35, pp. 333- 343 ,(2011) , 10.1016/J.COMPMEDIMAG.2011.01.003
Sedat Nazlibilek, Deniz Karacor, Tuncay Ercan, Murat Husnu Sazli, Osman Kalender, Yavuz Ege, Automatic segmentation, counting, size determination and classification of white blood cells Measurement. ,vol. 55, pp. 58- 65 ,(2014) , 10.1016/J.MEASUREMENT.2014.04.008
H.T. Madhloom, S.A. Kareem, H. Ariffin, A.A. Zaidan, H.O. Alanazi, B.B. Zaidan, An Automated White Blood Cell Nucleus Localization and Segmentation using Image Arithmetic and Automatic Threshold Journal of Applied Sciences. ,vol. 10, pp. 959- 966 ,(2010) , 10.3923/JAS.2010.959.966
Chastine Fatichah, Martin L. Tangel, Fei Yan, Janet P. Betancourt, M. Rahmat Widyanto, Fangyan Dong, Kaoru Hirota, Fuzzy feature representation for white blood cell differential counting in acute leukemia diagnosis International Journal of Control, Automation and Systems. ,vol. 13, pp. 742- 752 ,(2015) , 10.1007/S12555-012-0393-6
Nisha Ramesh, MohammedE Salama, Bryan Dangott, Tolga Tasdizen, Isolation and two-step classification of normal white blood cells in peripheral blood smears Journal of Pathology Informatics. ,vol. 3, pp. 13- 13 ,(2012) , 10.4103/2153-3539.93895
Takaaki Takei, Mitsuru Ikeda, Kuniharu Imai, Chiyo Yamauchi-Kawaura, Katsuhiko Kato, Haruo Isoda, A new automated assessment method for contrast-detail images by applying support vector machine and its robustness to nonlinear image processing. Australasian Physical & Engineering Sciences in Medicine. ,vol. 36, pp. 313- 322 ,(2013) , 10.1007/S13246-013-0215-Z