Hamamatsu Photonics grant share with artificial intelligence as a theme is 26% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Radiographic image processing method, machine-learning method, trained model, machine-learning preprocessing method, radiographic image processing module, radiographic image processing program, and radiographic image processing system (Patent ID: US20240054617A1)

The patent filed by Hamamatsu Photonics KK describes a control device for radiographic image processing that includes an image acquisition unit, a noise map generation unit, and a processing unit. The image acquisition unit captures radiographic images of a subject by irradiating it with radiation. The noise map generation unit evaluates noise spread in the images and generates a noise map associating evaluation values with each pixel. The processing unit then uses a trained model constructed through machine learning to remove noise from the radiographic images effectively.

The patent further details a radiographic image processing method involving acquiring radiographic images, evaluating noise spread, generating noise maps, and using a trained model to remove noise. The method includes deriving evaluation values based on the relationship between pixel values and noise values, as well as accepting condition information related to radiation source and imaging conditions. Additionally, the patent covers a machine-learning method using radiographic images and noise maps as training data to construct a trained model for noise removal, along with a radiographic image processing module and system implementing these methods for efficient noise reduction in radiographic imaging.

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