Literature DB >> 31749348

Detection and segmentation of multi-class artifacts in endoscopy.

Yan-Yi Zhang1, Di Xie2.   

Abstract

Endoscopy may be used for early screening of various cancers, such as nasopharyngeal cancer, esophageal adenocarcinoma, gastric cancer, colorectal cancer, and bladder cancer, and performing minimal invasive surgical procedures, such as laparoscopy surgery. During this procedure, an endoscope is used; it is a long, thin, rigid, or flexible tube having a light source and a camera at the tip, which facilitates visualization inside the affected organs on a screen and helps doctors in diagnosis.

Entities:  

Keywords:  Endoscopic diagnosis; Detection and segmentation; Multi-class artifacts; Cascade R-CNN; PSPNet

Mesh:

Year:  2019        PMID: 31749348      PMCID: PMC6885408          DOI: 10.1631/jzus.B1900340

Source DB:  PubMed          Journal:  J Zhejiang Univ Sci B        ISSN: 1673-1581            Impact factor:   3.066


  4 in total

1.  Detecting Surgical Tools by Modelling Local Appearance and Global Shape.

Authors:  David Bouget; Rodrigo Benenson; Mohamed Omran; Laurent Riffaud; Bernt Schiele; Pierre Jannin
Journal:  IEEE Trans Med Imaging       Date:  2015-12       Impact factor: 10.048

Review 2.  Vision-based and marker-less surgical tool detection and tracking: a review of the literature.

Authors:  David Bouget; Max Allan; Danail Stoyanov; Pierre Jannin
Journal:  Med Image Anal       Date:  2016-09-13       Impact factor: 8.545

3.  Smoke detection in endoscopic surgery videos: a first step towards retrieval of semantic events.

Authors:  Constantinos Loukas; Evangelos Georgiou
Journal:  Int J Med Robot       Date:  2014-03-10       Impact factor: 2.547

4.  Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Authors:  Shaoqing Ren; Kaiming He; Ross Girshick; Jian Sun
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2016-06-06       Impact factor: 6.226

  4 in total
  3 in total

1.  Inpainting for Saturation Artifacts in Optical Coherence Tomography Using Dictionary-Based Sparse Representation.

Authors:  Hongshan Liu; Shengting Cao; Yuye Ling; Yu Gan
Journal:  IEEE Photonics J       Date:  2021-02-02       Impact factor: 2.443

Review 2.  Deep learning for gastroscopic images: computer-aided techniques for clinicians.

Authors:  Ziyi Jin; Tianyuan Gan; Peng Wang; Zuoming Fu; Chongan Zhang; Qinglai Yan; Xueyong Zheng; Xiao Liang; Xuesong Ye
Journal:  Biomed Eng Online       Date:  2022-02-11       Impact factor: 2.819

3.  The role of AI technology in prediction, diagnosis and treatment of colorectal cancer.

Authors:  Chaoran Yu; Ernest Johann Helwig
Journal:  Artif Intell Rev       Date:  2021-07-04       Impact factor: 8.139

  3 in total

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