Data acquisition and processing of breast cancer assisted diagnosis based on ultrasound imaging

Yunchao Gu; Faqiang Shi

doi:10.1145/3322134.3322148

Data acquisition and processing of breast cancer assisted diagnosis based on ultrasound imaging

Yunchao Gu
, Faqiang Shi

School of Computer Science and Engineering

Beihang University

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

Abstract

Breast disease is a common disease in women. The analysis and judgment of B-mode ultrasound images by doctors depend heavily on the operation experience and technical level of doctors. Computer image processing technologies such as natural image classification, target detection and semantic segmentation, represented by deep learning, have been relatively mature, and have been widely used successfully in automatic driving, security, finance and other fields. In this paper, through consultation and cooperation with medical institutions, a large mammary ultrasound image data set is constructed, which basically meets the needs of deep neural network training and validation testing. It is used to develop and validate algorithms for subsequent subtasks of ultrasound image analysis.

Original language	English
Title of host publication	ICBDE 2019 - 2019 International Conference on Big Data and Education
Publisher	Association for Computing Machinery
Pages	82-87
Number of pages	6
ISBN (Electronic)	9781450361866
DOIs	https://doi.org/10.1145/3322134.3322148
State	Published - 30 Mar 2019
Event	2019 International Conference on Big Data and Education, ICBDE 2019 - London, United Kingdom Duration: 30 Mar 2019 → 1 Apr 2019

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2019 International Conference on Big Data and Education, ICBDE 2019
Country/Territory	United Kingdom
City	London
Period	30/03/19 → 1/04/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Breast cancer diagnosis
Data acquisition
Neural network training
Ultrasound image analysis

Access to Document

10.1145/3322134.3322148

Cite this

@inproceedings{ca96ba5187cd4a23957b54674b710e1a,

title = "Data acquisition and processing of breast cancer assisted diagnosis based on ultrasound imaging",

abstract = "Breast disease is a common disease in women. The analysis and judgment of B-mode ultrasound images by doctors depend heavily on the operation experience and technical level of doctors. Computer image processing technologies such as natural image classification, target detection and semantic segmentation, represented by deep learning, have been relatively mature, and have been widely used successfully in automatic driving, security, finance and other fields. In this paper, through consultation and cooperation with medical institutions, a large mammary ultrasound image data set is constructed, which basically meets the needs of deep neural network training and validation testing. It is used to develop and validate algorithms for subsequent subtasks of ultrasound image analysis.",

keywords = "Breast cancer diagnosis, Data acquisition, Neural network training, Ultrasound image analysis",

author = "Yunchao Gu and Faqiang Shi",

note = "Publisher Copyright: {\textcopyright} 2019 ACM.; 2019 International Conference on Big Data and Education, ICBDE 2019 ; Conference date: 30-03-2019 Through 01-04-2019",

year = "2019",

month = mar,

day = "30",

doi = "10.1145/3322134.3322148",

language = "英语",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery ",

pages = "82--87",

booktitle = "ICBDE 2019 - 2019 International Conference on Big Data and Education",

address = "美国",

}

Gu, Y & Shi, F 2019, Data acquisition and processing of breast cancer assisted diagnosis based on ultrasound imaging. in ICBDE 2019 - 2019 International Conference on Big Data and Education. ACM International Conference Proceeding Series, Association for Computing Machinery , pp. 82-87, 2019 International Conference on Big Data and Education, ICBDE 2019, London, United Kingdom, 30/03/19. https://doi.org/10.1145/3322134.3322148

Data acquisition and processing of breast cancer assisted diagnosis based on ultrasound imaging. / Gu, Yunchao; Shi, Faqiang.
ICBDE 2019 - 2019 International Conference on Big Data and Education. Association for Computing Machinery , 2019. p. 82-87 (ACM International Conference Proceeding Series).

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

TY - GEN

T1 - Data acquisition and processing of breast cancer assisted diagnosis based on ultrasound imaging

AU - Gu, Yunchao

AU - Shi, Faqiang

PY - 2019/3/30

Y1 - 2019/3/30

N2 - Breast disease is a common disease in women. The analysis and judgment of B-mode ultrasound images by doctors depend heavily on the operation experience and technical level of doctors. Computer image processing technologies such as natural image classification, target detection and semantic segmentation, represented by deep learning, have been relatively mature, and have been widely used successfully in automatic driving, security, finance and other fields. In this paper, through consultation and cooperation with medical institutions, a large mammary ultrasound image data set is constructed, which basically meets the needs of deep neural network training and validation testing. It is used to develop and validate algorithms for subsequent subtasks of ultrasound image analysis.

AB - Breast disease is a common disease in women. The analysis and judgment of B-mode ultrasound images by doctors depend heavily on the operation experience and technical level of doctors. Computer image processing technologies such as natural image classification, target detection and semantic segmentation, represented by deep learning, have been relatively mature, and have been widely used successfully in automatic driving, security, finance and other fields. In this paper, through consultation and cooperation with medical institutions, a large mammary ultrasound image data set is constructed, which basically meets the needs of deep neural network training and validation testing. It is used to develop and validate algorithms for subsequent subtasks of ultrasound image analysis.

KW - Breast cancer diagnosis

KW - Data acquisition

KW - Neural network training

KW - Ultrasound image analysis

UR - https://www.scopus.com/pages/publications/85066103054

U2 - 10.1145/3322134.3322148

DO - 10.1145/3322134.3322148

M3 - 会议稿件

AN - SCOPUS:85066103054

T3 - ACM International Conference Proceeding Series

SP - 82

EP - 87

BT - ICBDE 2019 - 2019 International Conference on Big Data and Education

PB - Association for Computing Machinery

T2 - 2019 International Conference on Big Data and Education, ICBDE 2019

Y2 - 30 March 2019 through 1 April 2019

ER -

Data acquisition and processing of breast cancer assisted diagnosis based on ultrasound imaging

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this