英語 での Medical image の使用例とその 日本語 への翻訳
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The global Medical Image Analysis Software market is expected to witness high growth during the forecast period.
One of the main research developments of LPIXEL is“EIRL,” a medical image diagnostic support technology.
In the first place, numerical fluid dynamics is merely a technique for outputting blood flow information from a medical image.
Medical image analysis software is used for examining the human body to diagnose, monitor or treat medical conditions.
We overlaid those from the medical image onto this image, creating something that we call a composite image. .
We provide products and services to meet your needs in medical image processing.
EIRL is the collective name given to LPixel's AI-based medical image diagnostic support technology.
The combined technique of medical image processing and computational fluid dynamics enables us to evaluate numerically such fluctuation phenomena in detail.
These information packets included colors, pixels, geometry and rendering of the disease on the medical image.
The regional level medical image, digital ecg, making the diagnosis, teaching more efficient, raising the medical resources integration and utilization.
It's suit for medical image output printing, engineering drawing etc.
Vuno Vuno provides medical image analysis and a diagnosis system based on deep learning.
TEAC announced our medical image recorder in 1992, but medical devices were totally out of TEAC's field at that time.
DICOM files contain both image data and headers, which store information about the patient and the medical image.
This programme aims to disseminate medical image analysis knowledge, skills, and understanding, enabling effective and efficient medical image analysis which can be used both clinically and commercially.
Amide s a Medical Image Data Examiner: Amide is a tool for viewing, registering, and analyzing anatomical and functional volumetric medical imaging data sets.
For our first goal, instead of starting with tens and thousands of these very expensive medical images, like traditional AI, we started with a single medical image.
The system is also equipped with a total memory capacity of 512GB, enabling rapid learning from a large volume of medical image and video data.
It's perfectly suitable for video conference, outdoor videos capture and store, real-time image capture and analysis, outdoor monitoring system, medical image industrial inspection, road toll and electrical audio-visual instruction, ect.
Medical image data is the foundation of highly accurate patient-specific anatomical models that can be made in a variety of materials to support patient education and surgical planning.