[Case Study] Medical Imaging Diagnosis Support System
Developed an X-ray image analysis system utilizing deep learning, achieving improved diagnostic accuracy and reduced diagnostic time for physicians!
We would like to introduce a case where we developed an "X-ray Image Analysis System" utilizing deep learning technology. During the development, we faced challenges such as optimizing computational resources to efficiently process high-resolution data specific to medical images. In response to these challenges, we built a cloud-based distributed learning environment and implemented continuous improvements to the algorithms. Furthermore, through collaborative validation with medical institutions, we advanced implementations that meet clinical needs. [Technical Challenges] - Optimization of computational resources to efficiently process high-resolution data specific to medical images - Ensuring the versatility of algorithms to accommodate the diversity of lesions and individual differences - Reducing false detection rates and balancing accuracy to ensure practicality in clinical settings *For more details, please download the PDF or feel free to contact us.
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**Main Achievements** ■ Diagnostic Accuracy: Up to 15% improvement ■ Diagnostic Time: Average reduction of 20% ■ Ensured high reproducibility and reliability ■ Significantly reduced burden on physicians *For more details, please download the PDF or feel free to contact us.*
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For more details, please download the PDF or feel free to contact us.
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Our company acts based on a sense of "mission" as "IT professionals," focusing on the "thoughts" of each individual customer to lead them to success. We contribute to stable energy supply through energy solutions utilizing AI and IoT. Additionally, we provide services globally across our entire company group, including overseas locations. Please feel free to contact us if you have any requests.