Pulmonary Nodule Segmentation Framework Based on Fine-Tuned and Pretrained Deep Neural Network Using CT Images
Author:
Affiliation:
1. Bio-Medical Imaging Laboratory, National Institute of Technology Silchar, Silchar, India
2. Center for Artificial Intelligence Research and Optimization, Torrens University Australia, Brisbane, QLD, Australia
Funder
Ministry of Education, India
National Institute of Technology Silchar, Silchar, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Radiology, Nuclear Medicine and imaging,Instrumentation,Atomic and Molecular Physics, and Optics
Link
http://xplorestaging.ieee.org/ielx7/7433213/10089896/10016657.pdf?arnumber=10016657
Reference56 articles.
1. Deep Residual Learning for Image Recognition
2. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Intervent,2015
3. Adaptive border marching algorithm: Automatic lung segmentation on chest CT images
4. Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images
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. Pulmonary Nodule Segmentation Using Deep Learning: A Review;IEEE Access;2024
2. Unveiling the Complexity of Medical Imaging through Deep Learning Approaches;Chaos Theory and Applications;2023-12-31
3. Early Diagnosis of Lung Nodules With Deep Neural Networks;AI and IoT-Based Technologies for Precision Medicine;2023-10-18
4. An early prediction and classification of lung nodule diagnosis on CT images based on hybrid deep learning techniques;Multimedia Tools and Applications;2023-05-31
5. ELCT-YOLO: An Efficient One-Stage Model for Automatic Lung Tumor Detection Based on CT Images;Mathematics;2023-05-17
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3