Quantitative feature classification for breast ultrasound images using improved naive bayes-Reference-Cited by-同舟云学术

Quantitative feature classification for breast ultrasound images using improved naive bayes

Published:2022-12-26 Issue:5 Volume:17 Page:1417-1426
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Li Xiaofeng¹^ORCID,Sang Yupeng²^ORCID,Ma Xianmin¹,Cai Yingjie³

Affiliation:

1. Department of Information Engineering Heilongjiang International University Harbin China

2. College of Information and Technology Wenzhou Business College Wenzhou China

3. Psychiatry Department The First Psychiatric Hospital of Harbin Harbin China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12723

Reference25 articles.

1. Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning

2. Breast cancer: Classification of suspicious regions in digital mammograms based on capsule network

3. Breast cancer classification prediction based on ultrasonic image feature recognition;Yihong H.;J. Healthcare Eng.,2021

4. Logistic regression models and Naive Bayesian models based on plain sweep CT predicted hematoma enlargement;Zuhua S.;Chin. Med. imaging Technol.,2021

5. Analysis of breast cancer prognosis based on a Bayesian approach;Jing D.;Comput. Eng. Appl.,2020

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