Titlebook: Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data ; 6th Joint Internatio M. Jorge Cardoso

轻信

Conference proceedings 2017arefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing..

IST

混沌

Exploring the Similarity of Medical Imaging Classification Problemsing to their origin with 89.3% accuracy. These findings, together with the observations of recent trends in machine learning, suggest that meta-learning could be a valuable tool for the medical imaging community.

悬崖

Real Data Augmentation for Medical Image Classificationling time. In our experiments, Unified LF&SM performed best, selecting a high percentage of relevant images in its recommendation and achieving the best classification accuracy. It is easily extendable to other medical image classification problems.

indigenous

经典

Crowdsourcing Labels for Pathological Patterns in CT Lung Scans: Can Non-experts Contribute Expert-Qle observer, matching the reference repeatability for 5 of 7 patterns. In conclusion, crowdsourcing from non-experts yields acceptable quality ground truth, given sufficient expert task supervision and a sufficient number of observers per scan.

名字

闷热

A Web-Based Platform for Distributed Annotation of Computerized Tomography Scansevaluate the relationship between the size of the harvested regions and the quality of the annotations. Finally, we present additional functionality of the developed platform for the closer examination of 3D point clouds for kidney cancer.

surmount

能量守恒

Intra-coronary Stent Localization in Intravascular Ultrasound Sequences, A Preliminary Studyound (IVUS) is a catheter-based imaging technique generally used for assessing the correct placement of the stent. All the approaches proposed so far for the stent analysis only focused on the struts detection, while this paper proposes a novel approach to detect the boundaries and the position of t