SAM filter based convolution neural network alogrithm for Leukocyte classification

Qinming Zhang; Xiyue Hou; Mei Zhou; Song Qiu; Li Sun; Hongying Liu; Qingli Li; Yiting Wang

doi:10.1145/3133793.3133800

SAM filter based convolution neural network alogrithm for Leukocyte classification

Qinming Zhang, Xiyue Hou, Mei Zhou, Song Qiu, Li Sun, Hongying Liu, Qingli Li^*, Yiting Wang

^*Corresponding author for this work

School of Communication and Electronic Engineering

East China Normal University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In biomedical field, the analysis of red blood cells (RBC) and white blood cells (WBC) were of vital importance for diagnosing diseases. As for WBC, it can be classified into basophils (B), lymphocytes (L), neutrophils (N), monocytes (M), and eosinophils (E) five components. Based on varieties methods of hyperspectral imaging, a novel white blood cell classification method, which was a new implementation algorithm in the field of medical research, was designed by three main blocks: the realization of spectral angle match algorithm, morphological processing method and basic structure of the convolution neural network system. In the case of basophils, eosinophils, lymphocyte and neutrophils, the classifications accuracies were 95.3%, 93.2%, 90.8%, 92.7% respectively, improved by nearly 10% with respect to the SAM-only cases.

Original language	English
Title of host publication	Proceedings of 2017 2nd International Conference on Biomedical Signal and Image Processing, ICBIP 2017
Publisher	Association for Computing Machinery
Pages	42-46
Number of pages	5
ISBN (Print)	9781450352680
DOIs	https://doi.org/10.1145/3133793.3133800
State	Published - 23 Aug 2017
Event	2nd International Conference on Biomedical Signal and Image Processing, ICBIP 2017 - Kitakyushu, Japan Duration: 23 Aug 2017 → 25 Aug 2017

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2nd International Conference on Biomedical Signal and Image Processing, ICBIP 2017
Country/Territory	Japan
City	Kitakyushu
Period	23/08/17 → 25/08/17

Keywords

Convolution neural network
Hyperspectral imaging
Leukocyte classification
Morphological processing
Spectral angle match

Access to Document

10.1145/3133793.3133800

Cite this

Zhang, Q., Hou, X., Zhou, M., Qiu, S., Sun, L., Liu, H., Li, Q., & Wang, Y. (2017). SAM filter based convolution neural network alogrithm for Leukocyte classification. In Proceedings of 2017 2nd International Conference on Biomedical Signal and Image Processing, ICBIP 2017 (pp. 42-46). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3133793.3133800

@inproceedings{22ed3f1a9f4a4b228cfc4b77dd5bb63b,

title = "SAM filter based convolution neural network alogrithm for Leukocyte classification",

abstract = "In biomedical field, the analysis of red blood cells (RBC) and white blood cells (WBC) were of vital importance for diagnosing diseases. As for WBC, it can be classified into basophils (B), lymphocytes (L), neutrophils (N), monocytes (M), and eosinophils (E) five components. Based on varieties methods of hyperspectral imaging, a novel white blood cell classification method, which was a new implementation algorithm in the field of medical research, was designed by three main blocks: the realization of spectral angle match algorithm, morphological processing method and basic structure of the convolution neural network system. In the case of basophils, eosinophils, lymphocyte and neutrophils, the classifications accuracies were 95.3\%, 93.2\%, 90.8\%, 92.7\% respectively, improved by nearly 10\% with respect to the SAM-only cases.",

keywords = "Convolution neural network, Hyperspectral imaging, Leukocyte classification, Morphological processing, Spectral angle match",

author = "Qinming Zhang and Xiyue Hou and Mei Zhou and Song Qiu and Li Sun and Hongying Liu and Qingli Li and Yiting Wang",

note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 2nd International Conference on Biomedical Signal and Image Processing, ICBIP 2017 ; Conference date: 23-08-2017 Through 25-08-2017",

year = "2017",

month = aug,

day = "23",

doi = "10.1145/3133793.3133800",

language = "英语",

isbn = "9781450352680",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

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booktitle = "Proceedings of 2017 2nd International Conference on Biomedical Signal and Image Processing, ICBIP 2017",

address = "美国",

}

Zhang, Q, Hou, X, Zhou, M, Qiu, S, Sun, L, Liu, H, Li, Q & Wang, Y 2017, SAM filter based convolution neural network alogrithm for Leukocyte classification. in Proceedings of 2017 2nd International Conference on Biomedical Signal and Image Processing, ICBIP 2017. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 42-46, 2nd International Conference on Biomedical Signal and Image Processing, ICBIP 2017, Kitakyushu, Japan, 23/08/17. https://doi.org/10.1145/3133793.3133800

SAM filter based convolution neural network alogrithm for Leukocyte classification. / Zhang, Qinming; Hou, Xiyue; Zhou, Mei et al.
Proceedings of 2017 2nd International Conference on Biomedical Signal and Image Processing, ICBIP 2017. Association for Computing Machinery, 2017. p. 42-46 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - SAM filter based convolution neural network alogrithm for Leukocyte classification

AU - Zhang, Qinming

AU - Hou, Xiyue

AU - Zhou, Mei

AU - Qiu, Song

AU - Sun, Li

AU - Liu, Hongying

AU - Li, Qingli

AU - Wang, Yiting

PY - 2017/8/23

Y1 - 2017/8/23

N2 - In biomedical field, the analysis of red blood cells (RBC) and white blood cells (WBC) were of vital importance for diagnosing diseases. As for WBC, it can be classified into basophils (B), lymphocytes (L), neutrophils (N), monocytes (M), and eosinophils (E) five components. Based on varieties methods of hyperspectral imaging, a novel white blood cell classification method, which was a new implementation algorithm in the field of medical research, was designed by three main blocks: the realization of spectral angle match algorithm, morphological processing method and basic structure of the convolution neural network system. In the case of basophils, eosinophils, lymphocyte and neutrophils, the classifications accuracies were 95.3%, 93.2%, 90.8%, 92.7% respectively, improved by nearly 10% with respect to the SAM-only cases.

AB - In biomedical field, the analysis of red blood cells (RBC) and white blood cells (WBC) were of vital importance for diagnosing diseases. As for WBC, it can be classified into basophils (B), lymphocytes (L), neutrophils (N), monocytes (M), and eosinophils (E) five components. Based on varieties methods of hyperspectral imaging, a novel white blood cell classification method, which was a new implementation algorithm in the field of medical research, was designed by three main blocks: the realization of spectral angle match algorithm, morphological processing method and basic structure of the convolution neural network system. In the case of basophils, eosinophils, lymphocyte and neutrophils, the classifications accuracies were 95.3%, 93.2%, 90.8%, 92.7% respectively, improved by nearly 10% with respect to the SAM-only cases.

KW - Convolution neural network

KW - Hyperspectral imaging

KW - Leukocyte classification

KW - Morphological processing

KW - Spectral angle match

UR - https://www.scopus.com/pages/publications/85052686311

U2 - 10.1145/3133793.3133800

DO - 10.1145/3133793.3133800

M3 - 会议稿件

AN - SCOPUS:85052686311

SN - 9781450352680

T3 - ACM International Conference Proceeding Series

SP - 42

EP - 46

BT - Proceedings of 2017 2nd International Conference on Biomedical Signal and Image Processing, ICBIP 2017

PB - Association for Computing Machinery

T2 - 2nd International Conference on Biomedical Signal and Image Processing, ICBIP 2017

Y2 - 23 August 2017 through 25 August 2017

ER -

Zhang Q, Hou X, Zhou M, Qiu S, Sun L, Liu H et al. SAM filter based convolution neural network alogrithm for Leukocyte classification. In Proceedings of 2017 2nd International Conference on Biomedical Signal and Image Processing, ICBIP 2017. Association for Computing Machinery. 2017. p. 42-46. (ACM International Conference Proceeding Series). doi: 10.1145/3133793.3133800

SAM filter based convolution neural network alogrithm for Leukocyte classification

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