Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

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Medical Image Retrieval with Compact Binary Codes Generated in Frequency Domain Using Highly Reactive Convolutional Features.

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Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

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2017 nî lūn-bûn

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2017年の論文

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Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

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Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

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Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

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Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

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Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

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Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

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P1476

Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

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P2093

Khan Muhammad

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

Mi Young Lee

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

P2860

Morphological analysis of dendrites and spines by hybridization of ridge detection with twin support vector machine

Medical Image Retrieval Using Vector Quantization and Fuzzy S-tree.

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Automated bleeding detection in capsule endoscopy videos using statistical features and region growing.

A note on the marker-based watershed method for X-ray image segmentation.

Directional binary wavelet patterns for biomedical image indexing and retrieval.

Distinctive Image Features from Scale-Invariant Keypoints

Content-based image retrieval at the end of the early years

Efficient object-based surveillance image search using spatial pooling of convolutional features

Embedded deep vision in smart cameras for multi-view objects representation and retrieval

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s10916-017-0836-y

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196

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scholarly article

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10.1007/S10916-017-0836-Y

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Jamil Ahmad

Sung Wook Baik

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2017-10-30T00:00:00Z

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29086034

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Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

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P2860

P2860

Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

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