Automatic polyp detection and segmentation using shuffle efficient channel attention network
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference40 articles.
1. H. Sung, J. Ferlay, R.L. Siegel, M. Laversanne, I. Soerjomataram, A. Jemal, F. Bray, Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries, CA. Cancer J. Clin. (2021) 1–41. DOI: 10.3322/caac.21660.
2. J. Cubiella, M. Marzo-Castillejo, J.J. Mascort-Roca, F.J. Amador-Romero, B. Bellas-Beceiro, J. Clofent-Vilaplana, S. Carballal, J. Ferrándiz-Santos, A.Z. Gimeno-García, R. Jover, C. Mangas-Sanjuán, L. Moreira, M. Pellisè, E. Quintero, E. Rodríguez-Camacho, P. Vega-Villaamil, Clinical practice guideline. Diagnosis and prevention of colorectal cancer. 2018 Update, Gastroenterol. Hepatol. 41 (2018) 585–596. DOI: 10.1016/j.gastrohep.2018.07.012.
3. Directional wavelet based features for colonic polyp classification;Wimmer;Med. Image Anal.,2016
4. Automated polyp detection in colonoscopy videos using shape and context information;Tajbakhsh;IEEE Trans. Med. Imaging.,2016
5. T. Li, J. Cohen, M. Craig, K. Tsourides, N. Mahmud, T.M. Berzin, Mo1979 The Next Endoscopic Frontier: A Novel Computer Vision Program Accurately Identifies Colonoscopic Colorectal Adenomas, Gastrointest. Endosc. 83 (2016) AB482. DOI: 10.1016/j.gie.2016.03.671.
Cited by 28 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. Imbalanced segmentation for abnormal cotton fiber based on GAN and multiscale residual U-Net;Alexandria Engineering Journal;2024-11
2. GFENet: a lightweight network for efficient detection of abnormal objects in transmission line corridors;Measurement Science and Technology;2024-09-05
3. Enhancing of polyp image segmentation in colonoscopy images: a comprehensive approach using modified UNet, hybrid color space, and ensemble learning;Multimedia Tools and Applications;2024-07-04
4. Colorectal Polyp Detection Model by Using Super-Resolution Reconstruction and YOLO;Electronics;2024-06-12
5. An automatic system to detect colorectal polyp using hybrid fused method from colonoscopy images;Intelligent Systems with Applications;2024-06
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