Adoption of computerized tomography images in detection of lung nodules and analysis of neuropeptide correlative substances under deep learning algorithm-Reference-Cited by-同舟云学术

Adoption of computerized tomography images in detection of lung nodules and analysis of neuropeptide correlative substances under deep learning algorithm

Published:2021-01-05 Issue:7 Volume:77 Page:7584-7597
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Zhu Li,Gao Jianbo

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-020-03538-x.pdf

Reference17 articles.

1. Tobias P, Fenghai D, Srinivasan R et al (2018) Novel high-resolution computed tomography-based radiomic classifier for screen-identified pulmonary nodules in the National Lung Screening Trial. PLoS ONE 13(5):e0196910

2. Zheng H, Wu X, Yin J et al (2019) Clinical applications of liquid biopsies for early lung cancer detection. Am J Cancer Res 9(12):2567–2579

3. Hsiao YT, Fan MJ, Huang AC et al (2018) Deguelin impairs cell adhesion, migration and invasion of human lung cancer cells through the NF-κB signaling pathways. Am J Chin Med 46(1):209–229

4. Dhara AK, Mukhopadhyay S, Dutta A et al (2017) Content-based image retrieval system for pulmonary nodules: assisting radiologists in self-learning and diagnosis of lung cancer. J Digit Imaging 30(1):63–77

5. Suvas S (2017) Role of substance P neuropeptide in inflammation, wound healing, and tissue homeostasis. J Immunol 199(5):1543–1552

Cited by 6 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. An efficient lung nodule detection model using multiscale hybrid 2D-3D dilation assisted adaptive Trans-Res-Unet++ with hybrid heuristic mechanism;Biomedical Signal Processing and Control;2024-04

2. Feature Extraction Methods and Deep Learning Models for Detection of Cancerous Lung Nodules at an Early Stage – Recent Trends and Challenges;2024

3. Utilizing Visual Geometry Group (VGG16) and InceptionV3 convolutional Neural Network (CNN) models for accurate diagnosis of lung cancer: an Artificial Intelligence (AI)-based approach;Multimedia Tools and Applications;2023-12-14

4. Practice toward standardized performance testing of computer-aided detection algorithms for pulmonary nodule;Frontiers in Public Health;2022-12-07

5. A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain;Neural Computing and Applications;2022-05-25