Organ Segmentation in Poultry Viscera Using RGB-D.

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Organ Segmentation in Poultry Viscera Using RGB-D.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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Organ Segmentation in Poultry Viscera Using RGB-D.

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Organ Segmentation in Poultry Viscera Using RGB-D.

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Organ Segmentation in Poultry Viscera Using RGB-D.

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Organ Segmentation in Poultry Viscera Using RGB-D.

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Organ Segmentation in Poultry Viscera Using RGB-D.

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Organ Segmentation in Poultry Viscera Using RGB-D.

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P1476

Organ Segmentation in Poultry Viscera Using RGB-D.

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P2093

Anders Jørgensen

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Jacob Velling Dueholm

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Mark Philip Philipsen

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Thomas Baltzer Moeslund

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P2860

Random Forests

Multi-Atlas Segmentation with Joint Label Fusion.

Recent developments in hyperspectral imaging for assessment of food quality and safety.

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Scene Segmentation.

Hyperspectral-multispectral line-scan imaging system for automated poultry carcass inspection applications for food safety.

Fast and robust multi-atlas segmentation of brain magnetic resonance images.

Potential of multispectral imaging technology for rapid and non-destructive determination of the microbiological quality of beef filets during aerobic storage.

SLIC superpixels compared to state-of-the-art superpixel methods.

The Pascal Visual Object Classes (VOC) Challenge

P31

scholarly article

P356

10.3390/S18010117

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P407

English

P433

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P478

http://www.w3.org/2001/XMLSchema#string

P50

Sergio Escalera

P577

2018-01-03T00:00:00Z

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P698

29301337

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P932

5795892

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