Pixel-Classification-Based Reticulocyte Detection in Blood-Smear Microscopy Images

[1]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Piatnitskiĭ Am,et al.  [Analysis of reticulocytes: manual microscopy, flow analyzers or image analyzers? (analytical review)]. , 2007 .

[3]  Eka Miranda,et al.  A survey of medical image classification techniques , 2016, 2016 International Conference on Information Management and Technology (ICIMTech).

[4]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[5]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[6]  M. Buttarello,et al.  Reticulocyte count and extended reticulocyte parameters by Mindray BC‐6800: Reference intervals and comparison with Sysmex XE‐5000 , 2017, International journal of laboratory hematology.

[7]  Matti Pietikäinen,et al.  Performance evaluation of texture measures with classification based on Kullback discrimination of distributions , 1994, Proceedings of 12th International Conference on Pattern Recognition.

[8]  Chih-Jen Lin,et al.  A Practical Guide to Support Vector Classication , 2008 .

[9]  Yanqing Zhang,et al.  Granular SVM with Repetitive Undersampling for Highly Imbalanced Protein Homology Prediction , 2006, 2006 IEEE International Conference on Granular Computing.

[10]  G. Taylor,et al.  POINT IN POLYGON TEST , 1994 .

[11]  Abdul Jalil,et al.  Texture Analysis for Liver Segmentation and Classification: A Survey , 2011, 2011 Frontiers of Information Technology.

[12]  C. Naugler,et al.  Accuracy of the CellaVision DM96 platform for reticulocyte counting , 2014, Journal of pathology informatics.

[13]  Keiichi Abe,et al.  Topological structural analysis of digitized binary images by border following , 1985, Comput. Vis. Graph. Image Process..

[14]  Calvin C. Gotlieb,et al.  Texture descriptors based on co-occurrence matrices , 1990, Comput. Vis. Graph. Image Process..

[15]  Ting Wang,et al.  Color image segmentation using pixel wise support vector machine classification , 2011, Pattern Recognit..

[16]  Ioannis Pitas,et al.  Color Texture Segmentation Based on the Modal Energy of Deformable Surfaces , 2009, IEEE Transactions on Image Processing.

[17]  Richa Singh,et al.  HEp-2 Cell Image Classification: A Comparative Analysis , 2013, MLMI.

[18]  Xiangyang Wang,et al.  A pixel-based color image segmentation using support vector machine and fuzzy C-means , 2012, Neural Networks.

[19]  Wayne Niblack,et al.  An introduction to digital image processing , 1986 .

[20]  Chengjun Liu,et al.  Gabor-based kernel PCA with fractional power polynomial models for face recognition , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[21]  Alexander J. Smola,et al.  Learning with Kernels: support vector machines, regularization, optimization, and beyond , 2001, Adaptive computation and machine learning series.

[22]  Richard Gran,et al.  On the Convergence of Random Search Algorithms In Continuous Time with Applications to Adaptive Control , 1970, IEEE Trans. Syst. Man Cybern..