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Akitoshi Katsumata

Researcher at Asahi University

Publications -  153
Citations -  3704

Akitoshi Katsumata is an academic researcher from Asahi University. The author has contributed to research in topics: Cone beam computed tomography & Detector. The author has an hindex of 29, co-authored 142 publications receiving 2912 citations. Previous affiliations of Akitoshi Katsumata include Gifu University.

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Classification of teeth in cone-beam CT using deep convolutional neural network

TL;DR: This study investigated the application of a deep convolutional neural network (DCNN) for classifying tooth types on dental cone-beam computed tomography (CT) images and found the proposed method is advantageous in obtaining high classification accuracy without the need for precise tooth segmentation.
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3D-CT evaluation of facial asymmetry.

TL;DR: A 3D-CT imaging procedure for a 3-dimensional coordinate point evaluation system to assess and diagnose patients with facial asymmetry and is a practical method of evaluating the morphology of facial asymmetric.
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Effects of image artifacts on gray-value density in limited-volume cone-beam computerized tomography.

TL;DR: The CBCT system using an FPD resulted in fewer artifacts than the CBCTsystem using an II in this particular study, and fewer artifacts were noted in images produced by the particular FPD CBCT used in this investigation.
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Image artifact in dental cone-beam CT

TL;DR: The probability that this artifact seen in limited-volume cone-beam CT imaging is caused by halation from the image intensifier (II) system is suggested.