Introduction
Our products use deep learning technology to focus on automatic detection of lesions in mammogram images. This technology can quickly and accurately detect and classify lumps and calcifications in breast tissue while generating highly professional medical diagnostic reports.
Traditionally, breast cancer images require professional radiologists to evaluate and generate reports. Now our machine learning technology can automatically detect lesions and generate related reports, thus accelerating the diagnosis process. These reports and detection results are provided to attending physicians to help formulate treatment plans more accurately and effectively improve the quality of medical care for breast cancer patients.
This integrated system combines image processing and natural language generation technology to simplify the mammography diagnostic process and provide faster and more accurate results.
Features / strengths
The distinctive advantages of our system include fast and accurate image processing, providing rapid preliminary diagnosis, including imaging lesion marking points, and professional medical reports, which can help medical staff better understand the condition and better support the attending physician in formulating treatment plans. treatment planning aspects.
As the system goes online, it is expected to obtain more medical records and patient data, and the large amount of data will enhance the system's robustness and improve accuracy. At the same time, multiple levels of information, including medical records, family history, medication records, etc., are integrated to establish a more accurate breast cancer metastasis and prognosis prediction model and identify key factors for the development of breast cancer.
Specification in detail
研發中
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