RePoint-Net detection and 3DSqU² Net segmentation for automatic identification of pulmonary nodules in computed tomography images-Reference-Cited by-同舟云学术

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RePoint-Net detection and 3DSqU² Net segmentation for automatic identification of pulmonary nodules in computed tomography images

Published:2023-09-30 Issue: Volume: Page:1-23
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Ghasemi Shabnam¹,Akbarpour Shahin¹,Farzan Ali¹,Jamali Mohammad Ali¹

Affiliation:

1. Department of Computer Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2258998

Reference66 articles.

1. Gated-Dilated Networks for Lung Nodule Classification in CT Scans

2. Ensemble learning based automatic detection of tuberculosis in chest X-ray images using hybrid feature descriptors

3. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

4. Multi-Branch Ensemble Learning Architecture Based on 3D CNN for False Positive Reduction in Lung Nodule Detection

5. Phospholamban as a Crucial Determinant of the Inotropic Response of Human Pluripotent Stem Cell–Derived Ventricular Cardiomyocytes and Engineered 3-Dimensional Tissue Constructs

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. Pulmonary Nodule Segmentation Using Deep Learning: A Review;IEEE Access;2024

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