Dr. Pecker system provides cloud-based solutions for diagnosis services based on fast and reliable image analysis using AI deep learning. Our system can provide automated and reproducible biomarkers for classification and quantification of COVID-19 disease, thus it can rapidly identify suspected pneumonia cases from CT scans, and ensure the safety of patients and the community. Intel distribution of OpenVINO toolkit helps to boost the AI workload inference performance and come to deployment easily.
Dr. Pecker CT Pneumonia CAD System
In a large amount of data, rapid screening of suspected lesions helps doctors to efficiently determine whether there are suspected lesion areas in the case images.
Locate the lesion
After determining the suspected lesion, the location is given to allow the doctor to make a quick diagnosis, which really saves the doctor's time, the double diagnosis is more secure, and the possibility of missed diagnosis and misdiagnosis is minimized.
Quantitative diagnosis can accurately measure the size of the lesion, determine the development of the disease, and support the doctor in the most scientific way.
Using the most advanced deep learning technology, one-stop help doctors solve diagnostic problems from storage to diagnosis and treatment. With the improvement of the system, more disease detection and richer system content will better serve medical care.
SenseCare Diagnostic Service Platform
The SenseCare diagnostic service platform is implemented using the machine learning library MLLib and the medical image processing library MedImage independently developed by Jianpei. MLLib and MedImage include most of the current medical image processing and classification algorithms, as well as more than 20 patented technologies improved and innovated by Jianpei Technology, which fully guarantee the practicability and advancement of the SenseCare diagnostic cloud.