An Improved Expectation-Maximization Algorithm to Detect Liver Image Boundary in CT Scan Images-Reference-Cited by-同舟云学术

An Improved Expectation-Maximization Algorithm to Detect Liver Image Boundary in CT Scan Images

Published:2022-02-01 Issue: Volume: Page:1-9
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Siri Sangeeta K.¹²^ORCID,Kumar S. Pramod²³^ORCID,V. Latte Mrityunjaya²⁴^ORCID

Affiliation:

1. Global Academy of Technology, Bengaluru, 560060 Karnataka, India

2. Electronics and Communication Engineering, Visvesvaraya Technological University, Belagavi, 590018, Karnataka, India

3. Jawaharlal Nehru National College of Engineering, Shivamogga, Karnataka, India

4. JSS Academy of Technical Education, Bangalore, 560060 Karnataka, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2021.2021819

Reference19 articles.

1. Shrestha, Ujjwal. “Automatic liver and tumor segmentation from CT scan images using gabor feature and machine learning algorithms,” PhD diss. University of Toledo, 2018.

2. Liver vessel segmentation based on inter-scale V-Net

3. Two-Stage Liver and Tumor Segmentation Algorithm Based on Convolutional Neural Network

4. Acoustic cloak based on Bézier scatterers

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CT Images Segmentation Using a Deep Learning-Based Approach for Preoperative Projection of Human Organ Model Using Augmented Reality Technology;International Journal of Computational Intelligence and Applications;2023-06