Endoscopic image acquisition system and method
AssigneeFUJIFILM Corporation
InventorShumpei Kamon
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AssigneeFUJIFILM Corporation
InventorShumpei Kamon
Estimating the term…
Provided are endoscopic image acquisition system and method that make observation of images easier when images are collected. The endoscopic image acquisition system includes a wavelength pattern changing unit that changes a wavelength pattern of irradiation light with which a part to be observed in a body cavity of a patient is irradiated or returning light from the part to be observed. Images of an observation wavelength pattern are captured at a certain frame rate. In response to acceptance of an acquisition instruction, images of a plurality of wavelength patterns different from one another are sequentially captured. The images of the plurality of wavelength patterns different from one another are stored in a storage unit. An image of a wavelength pattern other than the observation wavelength pattern is set not to be displayed.
An endoscopic image acquisition system comprising:
An endoscopic image acquisition method comprising:
Dependencies are inferred from the claim text.
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Characterised by electronic signal processing: of control signals
Of image signals during a use of endoscope: extracting biological structures
Provided with input arrangements for the user: for mechanical operation
Display arrangement: combining images e.g. side-by-side, superimposed or tiled
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The present invention relates to endoscopic image acquisition system and method and, more particularly, to a technique of collecting training images used in learning of a learning algorithm for making a diagnosis from an endoscopic image.
There is known an AI (Artificial Intelligence) technique of automatically detecting or automatically discriminating a lesion in an endoscopic image using a computer to make a diagnosis. In particular, the use of a learning algorithm such as a neural network enables a highly accurate diagnosis. On the other hand, collecting training images is necessary for development of a learning algorithm.
In addition, in terms of the endoscopic diagnosis, there are observation under special light such as NBI (Narrow Band Imaging, registered trademark) and BLI (Blue Laser Imaging, registered trademark) as well as observation under white light that is commonly performed.
FIG. 1 is an external view of an endoscope system;
FIG. 2 is a block diagram illustrating functions of the endoscope system;
FIG. 3 is a graph illustrating a light intensity distribution;
Preferred embodiments of the present invention will be described in detail below in accordance with the accompanying drawings.
FIG. 1 is an external view of an endoscope system 10 (an example of an endoscopic image acquisition system) according to a first embodiment. As illustrated in FIG. 1, the endoscope system 10 includes an endoscope 12, a light source device 14, a processor device 16, a display unit 18, and an input unit 20.
The endoscope 12 is optically connected to the light source device 14. The endoscope 12 is also electrically connected to the processor device 16.