Titlebook: Cloud-Based Benchmarking of Medical Image Analysis; Allan Hanbury,Henning Müller,Georg Langs Book‘‘‘‘‘‘‘‘ 2017 The Editor(s) (if applicabl

Graphite

Blasphemy

基因组

溺爱

Ethical and Privacy Aspects of Using Medical Image Dataof each data provider (each from a different country) are described in detail. The final data collection was made available in anonymized form in the Microsoft Azure cloud with the restriction of having it on servers that are located inside the European Union.

uveitis

Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmarkr a differential diagnosis for the given query case. The approaches that integrated information from both the RadLex terms and the 3D volumes (mixed techniques) obtained the best results based on five standard evaluation metrics. The benchmark set up, dataset description and result analysis are presented.

分离

Multiatlas Segmentation Using Robust Feature-Based Registrationion term. Our pipeline was evaluated on 20 organs in 10 whole-body CT images at the VISCERAL Anatomy Challenge, in conjunction with the International Symposium on Biomedical Imaging, Brooklyn, New York, in April 2015. It performed best on majority of the organs, with respect to the Dice index.

战胜

继而发生

好忠告人

臆断

Evaluation Metrics for Medical Organ Segmentation and Lesion Detectionadiologists. Finally, a metric selection is performed using an automatic selection framework, and the selection result is validated using the manual rankings. Furthermore, this chapter provides an overview of metrics used for the Lesion Detection Benchmark.