Kamon Shumpei
Fujifilm Holdings Corporation
20 Papers
15 Citations
Kamon Shumpei is an academic researcher from Fujifilm Holdings Corporation. The author has contributed to research in topics: Image processing & Control unit. The author has an hindex of 2, co-authored 20 publications.
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Papers
Patent
Image processing device, endoscope system, image processing method, image processing program, and recording medium
Kamon Shumpei
- 21 Sep 2017
TL;DR: In this paper, the authors present an image processing apparatus, an endoscope system, a processing method, an image program, and a recording medium capable of accurately estimating blood vessel information.
3
Patent
Endoscope system and method for operating same
Kamon Shumpei
- 04 Oct 2018
TL;DR: In this paper, an endoscope system that enables easy searching for a previously detected area of interest once again, and a method for operating the end-oscope system is presented. But this system is limited to the use of a single endoscope.
2
Patent
Medical image processing device
Kamon Shumpei
- 21 Apr 2020
TL;DR: In this paper, a medical image processing device is provided with an acquiring unit for acquiring a plurality of medical images including a subject image, a region-of-interest detection unit for detecting a region of interest for each medical image, and a same-region of interest determination unit for determining whether the plurality of regions of interest detected for each image are regions including the same subject.
2
Patent
Endoscope system and endoscope system operation method
Kamon Shumpei
- 13 Apr 2017
TL;DR: In this paper, an endoscope system and an endoscopy system operation method capable of accurately calculating a diagnosis support parameter more profitable than an individual blood vessel index value was proposed.
2
Patent
Image processing device, endoscope system, and image processing method
Kamon Shumpei
- 12 Jan 2021
TL;DR: In this article, an image processing device, an endoscope system, and a processing method capable of efficiently saving a moving image in which a lesion is shown is presented, where the subject information including at least one of subject information of a still image acquired in the examination or acquisition time information of the still image is extracted from the report information.
1