Recognition of honeycomb lung in CT images based on improved MobileNet model-Reference-Cited by-同舟云学术

Recognition of honeycomb lung in CT images based on improved MobileNet model

Published:2021-07-17 Issue:8 Volume:48 Page:4304-4315
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Gang Li¹,Haixuan Zhang²,Linning E³,Ling Zhang¹,Yu Li⁴,Juming Zhao²

Affiliation:

1. College of Software Taiyuan University of Technology Taiyuan China

2. College of Information and Computer Taiyuan University of Technology Taiyuan China

3. Shanxi Bethune Hospital Taiyuan China

4. College of Data Science Taiyuan University of Technology Taiyuan China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14873

Reference29 articles.

1. CT staging and monitoring of fibrotic interstitial lung diseases in clinical practice and treatment trials: a Position Paper from the Fleischner society

2. Biomarkers in idiopathic pulmonary fibrosis;Drakopanagiotakis F;Matrix Biol,2018

3. Predicting clinical outcome with phenotypic clusters using quantitative CT fibrosis and emphysema features in patients with idiopathic pulmonary fibrosis;Hyeon BS;PLoS One,2019

4. Hybrid System for Detection and Classification of Plant Disease Using Qualitative Texture Features Analysis

5. Image-processing based taxonomy analysis of bacterial macromorphology using machine-learning models

Cited by 17 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. Computer‐aided diagnosis of cystic lung diseases using CT scans and deep learning;Medical Physics;2024-06-22

2. Multitask Learning for Concurrent Grading Diagnosis and Semi-Supervised Segmentation of Honeycomb Lung in CT Images;Electronics;2024-05-29

3. Object and defect detection in additive manufacturing using deep learning algorithms;Production Engineering;2024-04-27

4. Construction of data domain based cascade ensemble learning algorithm for pathological image diagnosis;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19

5. Improving CNN Model for Residential Building Image Classification: Enhancing Parameter Estimation Accuracy Through Transfer Learning and Reducing Model Complexity with MobileNet;2023 3rd International Signal Processing, Communications and Engineering Management Conference (ISPCEM);2023-11-25