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Mahdi et al., 2020 - Google Patents

Automatic teeth recognition in dental X-ray images using transfer learning based faster R-CNN

Mahdi et al., 2020

Document ID
4271145537620586007
Author
Mahdi F
Yagi N
Kobashi S
Publication year
Publication venue
2020 IEEE 50th International Symposium on Multiple-Valued Logic (ISMVL)

External Links

Snippet

Computer aided diagnosis in dental treatment is highly desirable as it brings efficiency and accuracy in dental treatment. In this paper, an automatic teeth recognition method is proposed involving faster R-CNN method. The proposed method is implemented using a pre …
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Classifications

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
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    • G06T2207/20101—Interactive definition of point of interest, landmark or seed
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