The RL model develops a control policy directly from experience to predict statesrewards during a learning procedure. Hence, we designed a medical image environment including US images, different actions,rewards, agent learns in this environment to extract the ALN regionevaluates the status. The performance of our proposed method achieves an accuracy of 83.6, a sensitivity of 88.6,a specificity of 89.0.

EPICAn is a novel technique that uses liquid biopsy for epigenetic analysis. Using methylation-specific PCR method to analyze specific gene methylation of cell-free DNA in plasma for early detection of breast cancer. The advantages of this technology are 1. High accuracy 2. Low false positive rate 3. Low-invasive 4. less limitation 5. Available for routine continuous detection 6. Monitoring cancer changes 7. Aided diagnosis 8. Automated process 9. Easy-to-operate 10. Rapid analysis. It is expected that EPICAn technique can increase the accuracy of early detection of breast canceraid clinicians diagnosis.

This breaking-through technology aims at designingconstructing a compliant prone-type ring-scanning inspection platform incorporated with a simultaneous multi-frequency driving NIR light source to complete a diffuse optical imaging system. The realized system has two features superior to other counterpart imaging equipments: (i) compliant flexible optical channels to collect optical information,(ii) simultaneous multiple frequency driving light source. It brings the benefits to improve the accuracy of reconstructed imagesshorten examination time for test subjects.