Automatic Radiographic Position Recognition from Image Frequency and Intensity.

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Automatic Radiographic Position Recognition from Image Frequency and Intensity.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

@wuu

2017年学术文章

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2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

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2017年學術文章

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name

Automatic Radiographic Position Recognition from Image Frequency and Intensity.

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Automatic Radiographic Position Recognition from Image Frequency and Intensity.

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Item

label

Automatic Radiographic Position Recognition from Image Frequency and Intensity.

@en

Automatic Radiographic Position Recognition from Image Frequency and Intensity.

@nl

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Automatic Radiographic Position Recognition from Image Frequency and Intensity.

@en

Automatic Radiographic Position Recognition from Image Frequency and Intensity.

@nl

P1476

Automatic Radiographic Position Recognition from Image Frequency and Intensity.

@en

P2093

An-Ran Ma

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Li-Bo Han

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Ning-Ning Ren

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Yan Shao

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Yong Sun

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P2860

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

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Multimodality fusion imaging in abdominal and pelvic malignancies: current applications and future perspectives.

Evaluating color descriptors for object and scene recognition.

Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging?

P304

2727686

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P31

scholarly article

P356

10.1155/2017/2727686

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P478

2017

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

P50

Jianfeng Qiu

P577

2017-09-17T00:00:00Z

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P698

29104743

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P921

automation

P932

5623794

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