Literature DB >> 31772718

MULTI-SCALE SEGMENTATION USING DEEP GRAPH CUTS: ROBUST LUNG TUMOR DELINEATION IN MVCBCT.

Xiaodong Wu1,2, Zisha Zhong1,2, John Buatti2, Junjie Bai1.   

Abstract

Deep networks have been used in a growing trend in medical image analysis with the remarkable progress in deep learning. In this paper, we formulate the multi-scale segmentation as a Markov Random Field (MRF) energy minimization problem in a deep network (graph), which can be efficiently and exactly solved by computing a minimum s-t cut in an appropriately constructed graph. The performance of the proposed method is assessed on the application of lung tumor segmentation in 38 mega-voltage cone-beam computed tomography datasets.

Entities:  

Keywords:  Deep graph cuts; deep networks; lung tumor segmentation; multi-scale image segmentation

Year:  2018        PMID： 31772718      PMCID： PMC6878112          DOI： 10.1109/ISBI.2018.8363628

Source DB:  PubMed          Journal:  Proc IEEE Int Symp Biomed Imaging        ISSN： 1945-7928


  6 in total

1.  Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation.

Authors:  Tom Brosch; Lisa Y W Tang; David K B Li; Anthony Traboulsee; Roger Tam
Journal:  IEEE Trans Med Imaging       Date:  2016-02-11       Impact factor: 10.048

2.  Automatic watershed segmentation of randomly textured color images.

Authors:  L Shafarenko; M Petrou; J Kittler
Journal:  IEEE Trans Image Process       Date:  1997       Impact factor: 10.856

3.  Exemplar-based image inpainting using multiscale graph cuts.

Authors:  Yunqiang Liu; Vicent Caselles
Journal:  IEEE Trans Image Process       Date:  2012-09-13       Impact factor: 10.856

4.  Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.

Authors:  Sergio Pereira; Adriano Pinto; Victor Alves; Carlos A Silva
Journal:  IEEE Trans Med Imaging       Date:  2016-03-04       Impact factor: 10.048

5.  Segmentation of the optic disc in 3-D OCT scans of the optic nerve head.

Authors:  Kyungmoo Lee; Meindert Niemeijer; Mona K Garvin; Young H Kwon; Milan Sonka; Michael D Abramoff
Journal:  IEEE Trans Med Imaging       Date:  2009-09-15       Impact factor: 10.048

6.  Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.

Authors:  Hoo-Chang Shin; Holger R Roth; Mingchen Gao; Le Lu; Ziyue Xu; Isabella Nogues; Jianhua Yao; Daniel Mollura; Ronald M Summers
Journal:  IEEE Trans Med Imaging       Date:  2016-02-11       Impact factor: 10.048
  6 in total

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