A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images.

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A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年論文

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2017年论文

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2017年论文

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2017年论文

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A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images.

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A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images.

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label

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images.

@en

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images.

@nl

prefLabel

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images.

@en

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images.

@nl

P1476

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images.

@en

P2093

Aaron Courville

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Adriana Romero

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Antonio M López

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F Javier Sánchez

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Michal Drozdzal

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P2860

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Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets.

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

HLA-DQ8 as an Ir gene in coeliac disease.

Colonoscopy and optical biopsy: bridging technological advances to clinical practice.

Impact of image preprocessing methods on polyp localization in colonoscopy frames.

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Factors influencing the miss rate of polyps in a back-to-back colonoscopy study.

P304

4037190

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P31

scholarly article

P356

10.1155/2017/4037190

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P478

2017

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P50

Gloria Fernández-Esparrach

Jorge Bernal

David Vázquez

P577

2017-07-26T00:00:00Z

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P698

29065595

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P818

1612.00799

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P921

colonoscopy

P932

5549472

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