Refining Coarse Manual Segmentations with Stable Probability Regions

Most feature-based lesion detection and computer-aided diagnosis methods for medical images require representative data of each region of interest (ROI) for parameter selection. Furthermore, the spatial accuracy of the segmentation of the ROIs from the background can significantly affect certain image features extracted from the ROIs. How- ever, requiring spatially accurate manual segmentations of the ROIs to be used as the ground truth is infeasible for large image sets due to the amount of manual work involved. To relax the requirement of spatial accuracy and to enable spatial refinement of coarse manual segmentations to have more representative feature data, a method based on color information and maximally stable extremal regions of lesion likelihoods is presented. The proposed method is quantitatively compared to several segmentation approaches by using a challenging set of retinal images with spatially accurate ground truth of exudates. The experiments show that the proposed method produces good results measured as Dice coefficients between the refined segmentation and ground truth

Adaptation of CERN Power Converter Controls for Integration into Other Laboratories using EPICS and TANGO

Modern power converters (power supplies) at CERN use proprietary controls hardware, which is integrated into the wider control system by software device servers developed specifically for the CERN environment, built using CERN libraries and communication protocols. There is a growing need to allow other HEP laboratories to make use of power converters that were originally developed for CERN and, consequently, a desire to allow for their efficient integration into control systems used at those laboratories, which are generally based upon either of the EPICS and Tango frameworks. This paper gives an overview of power converter equipment and software currently being provided to other laboratories through CERN’s Knowledge and Technology Transfer program and describes differences identified between CERN’s control system model and that of EPICS, which needed to be accounted for. A reference EPICS implementation provided by CERN to other laboratories to facilitate integration of the CERN power converter controls is detailed and the prospects for the development of a Tango equivalent in the future are also covered

BlueBrain/snap: v2.0.1

<h1>Bug Fixes</h1> <ul> <li>fixed pylint <code>cyclic-import</code> issues</li> <li>fixed docstrings of <code>Nodes.get</code>, <code>Edges.get</code></li> <li>did small fixes and added basic testing to <code>_plotting.py</code></li> </ul&gt