Journal ArticleDOI
WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians
Jorge Bernal,F. Javier Sánchez,Gloria Fernández-Esparrach,Debora Gil,Cristina Rodríguez,Fernando Vilariño +5 more
TLDR
This paper introduces a novel polyp localization method for colonoscopy videos based on a model of appearance for polyps which defines polyp boundaries in terms of valley information and proves that this method outperforms state-of-the-art computational saliency results.About:
This article is published in Computerized Medical Imaging and Graphics.The article was published on 2015-07-01. It has received 719 citations till now.read more
Citations
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Journal ArticleDOI
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation.
Nabil Ibtehaz,M. Sohel Rahman +1 more
TL;DR: This work develops a novel architecture, MultiResUNet, as the potential successor to the U-Net architecture, and tests and compared it with the classical U- net on a vast repertoire of multimodal medical images.
Journal ArticleDOI
Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information
TL;DR: This paper presents the culmination of the research in designing a system for computer-aided detection of polyps in colonoscopy videos based on a hybrid context-shape approach, which utilizes context information to remove non-polyp structures and shape information to reliably localize polyps.
Book ChapterDOI
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang,Huiye Liu,Qiang Hu +2 more
TL;DR: TransFuse as discussed by the authors combines Transformers and CNNs in a parallel style, where both global dependency and low-level spatial details can be efficiently captured in a much shallower manner.
Journal ArticleDOI
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge
Jorge Bernal,Nima Tajkbaksh,Francisco Javier Sánchez,Bogdan J. Matuszewski,Hao Chen,Lequan Yu,Quentin Angermann,Olivier Romain,Bjorn Rustad,Ilangko Balasingham,Konstantin Pogorelov,Sungbin Choi,Quentin Debard,Lena Maier-Hein,Stefanie Speidel,Danail Stoyanov,Patrick Brandao,Henry Córdova,Cristina Sánchez-Montes,Suryakanth R. Gurudu,Gloria Fernández-Esparrach,Xavier Dray,Jianming Liang,Aymeric Histace +23 more
TL;DR: Results show that convolutional neural networks are the state of the art in polyp detection and it is also demonstrated that combining different methodologies can lead to an improved overall performance.
Posted Content
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
TL;DR: Quantitative and qualitative evaluations on five challenging datasets across six metrics show that the PraNet improves the segmentation accuracy significantly, and presents a number of advantages in terms of generalizability, and real-time segmentation efficiency.
References
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Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008.
TL;DR: The results for 20 world regions are presented, summarizing the global patterns for the eight most common cancers, and striking differences in the patterns of cancer from region to region are observed.
Journal ArticleDOI
Prevention of colorectal cancer by colonoscopic polypectomy. The National Polyp Study Workgroup.
Sidney J. Winawer,A G Zauber,M N Ho,Michael J. O'Brien,Leonard S. Gottlieb,S S Sternberg,Jerome D. Waye,Melvin Schapiro,John H. Bond,Joel F. Panish +9 more
TL;DR: The results of the National Polyp Study support the view that colorectal adenomas progress to adenocarcinomas, as well as the current practice of searching for and removing adenomatous polyps to prevent coloreCTal cancer.
Proceedings Article
Graph-Based Visual Saliency
TL;DR: A new bottom-up visual saliency model, Graph-Based Visual Saliency (GBVS), is proposed, which powerfully predicts human fixations on 749 variations of 108 natural images, achieving 98% of the ROC area of a human-based control, whereas the classical algorithms of Itti & Koch achieve only 84%.
Journal ArticleDOI
A saliency-based search mechanism for overt and covert shifts of visual attention.
Laurent Itti,Christof Koch +1 more
TL;DR: A detailed computer implementation of a saliency map scheme is described, focusing on the problem of combining information across modalities, here orientation, intensity and color information, in a purely stimulus-driven manner, which is applied to common psychophysical stimuli as well as to a very demanding visual search task.
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Jorge Bernal,Nima Tajkbaksh,Francisco Javier Sánchez,Bogdan J. Matuszewski,Hao Chen,Lequan Yu,Quentin Angermann,Olivier Romain,Bjorn Rustad,Ilangko Balasingham,Konstantin Pogorelov,Sungbin Choi,Quentin Debard,Lena Maier-Hein,Stefanie Speidel,Danail Stoyanov,Patrick Brandao,Henry Córdova,Cristina Sánchez-Montes,Suryakanth R. Gurudu,Gloria Fernández-Esparrach,Xavier Dray,Jianming Liang,Aymeric Histace +23 more