Titlebook: Innovation in Medicine and Healthcare Systems, and Multimedia; Proceedings of KES-I Yen-Wei Chen,Alfred Zimmermann,Lakhmi C. Jain Conferenc

食物

Development of a Prototype of a Fast Proximity Authentication System for Electronic Medical Record Tut a prototype of a proximity authentication system at medical institutions. The results showed that the mean length of time before the screen startup for electronic medical record terminals with and without a proximity authentication system was 5.89 and 12.28?s, respectively (p?

Champion

Monetary and Health Benefits from Better Health Data: Estimating Lives and Dollars Saved from Univere care units (ICUs) would improve ICU safety, with a monetary value of $2724 per ICU admission. The third Leap, evidence-based hospital referral, would refer to risky surgical procedures to hospitals with the lowest mortality risk, thereby saving one life for every 300 target procedures. If national

Leisureliness

heirloom

Multiphase Focal Liver Lesions Classification with Combined N-gram and BoVWf our knowledge, this is the first work that introduces visual N-grams scheme to contrast-enhanced CT images, which integrates temporal information with spatial co-occurrence relationship and improves the classification performance. The effectiveness of the proposed model is verified on 132 FLLs wit

BIBLE

絆住

Deep Learning for Detecting Breast Cancer Metastases on WSIdata quality. In order to reduce the patches without cells, we combined opening and closing operation with Otsu algorithm together. In addition, the hard negative method was also been used to remove false positives and balance positive and negative samples. Our method yields progressive sensitivity

adduction

FDCT and Perceptual Hash-Based Watermarking Algorithm for Medical Imagesation results show that the proposed algorithm performed better than the existing schemes in terms of imperceptibility and robustness, and is robust to both conventional attacks and geometric attacks.

漫步

Comparison of CNN Models with Different Plane Images and Their Combinations for Classification of Alassification results of convolutional neural network (CNN) models with different plane images and their combinations are compared. Experimental results show that the CNN model with the coronal plane image as the input image achieves the best results (about 89%).

Hdl348

軍械庫

es Systems detailliert abgehandelt. ..Ferner werden nützliche Werkzeuge und insbesondere die wichtigen Netzwerkdienste (NFS, SAMBA, Apache) unter Debian GNU/Linux umfassend erl?utert..978-3-540-28623-3Series ISSN 1611-8618 Series E-ISSN 2363-9059