scholarly journals Unified framework for development, deployment and testing of image analysis algorithms

2009 ◽  
Author(s):  
Alark Joshi ◽  
Dustin Scheinost ◽  
Hirohito Okuda ◽  
Isabella Murphy ◽  
Lawrence Staib ◽  
...  

Developing both graphical and command-line user interfaces for image analysis algorithms requires considerable effort. Generally developers provide limited to very rudimentary user interface controls to their users. These image analysis algorithms can only meet their potential if they can be used easily and frequently by their intended users. Deployment of a large suite of such algorithms on multiple platforms requires that the software be stable and appropriately tested.We present a novel framework that allows for rapid development of image analysis algorithms along with graphical user interface controls. Additionally, our framework allows for simplified nightly testing of the algorithms to ensure stability and cross platform interoperability. It allows for development of complex algorithms by creating a custom pipeline where the output of an algorithm can serve as an input for another algorithm. All of the functionality is encapsulation into the object requiring no separate source code for user interfaces, testing or deployment. This makes our framework ideal for developing novel, stable and easy-to-use algorithms for computer assisted interventions (CAI). The framework has been deployed at the Magnetic Resonance Research Center at Yale University and has been released for public use.

Author(s):  
Henry Larkin

Purpose – The purpose of this paper is to investigate the feasibility of creating a declarative user interface language suitable for rapid prototyping of mobile and Web apps. Moreover, this paper presents a new framework for creating responsive user interfaces using JavaScript. Design/methodology/approach – Very little existing research has been done in JavaScript-specific declarative user interface (UI) languages for mobile Web apps. This paper introduces a new framework, along with several case studies that create modern responsive designs programmatically. Findings – The fully implemented prototype verifies the feasibility of a JavaScript-based declarative user interface library. This paper demonstrates that existing solutions are unwieldy and cumbersome to dynamically create and adjust nodes within a visual syntax of program code. Originality/value – This paper presents the Guix.js platform, a declarative UI library for rapid development of Web-based mobile interfaces in JavaScript.


Author(s):  
SUDHARANI T. K ◽  
SHANTHAKUMAR A. H

This paper focuses on the design of the user interface for managing network elements using dojo. Dojo is an open source java script toolkit which is used for constructing dynamic web user interfaces. Here we are designing the user interface for the management of the network elements in a optical management system .User can see the tree list of all the network elements and network element hierarchy and will be able to access on any network element and view the details and status of it and perform provisioning operations on it. It also provides various user forms and tabular representation of the network elements. Dojo is more efficient than the JavaScript and HTML in terms of security, cross platform support and providing dynamism. Dojo saves the time and scales with the development process, using web standards as its platform.


2010 ◽  
Author(s):  
Stefan Bohn ◽  
Tobias Hilbert ◽  
Oliver Burgert

Today’s operating rooms consist of numerous medical devices, clinical IT systems and systems for computer assisted surgery. The majority of these systems comes from different vendors and has different user interface designs and interaction schemes. This diversity introduces a high risk of accidental misuse, which is critical in the surgical domain. The proposed framework integrates user interfaces of heterogeneous components into one central control console using a uniform screen design and interaction scheme. To accomplish this, the standards Universal Remote Console (URC) and Device Profiles for Web Services (DPWS) have been combined and integrated. The prototype results are demonstrated in the ICCAS integrated operating room.


Author(s):  
Claas Ahlrichs ◽  
Michael Lawo ◽  
Hendrik Iben

In the future, mobile and wearable devices will increasingly be used for interaction with surrounding technologies. When developing applications for those devices, one usually has to implement the same application for each individual device. Thus a unified framework could drastically reduce development efforts. This paper presents a framework that facilitates the development of context-aware user interfaces (UIs) with reusable components for those devices. It is based on an abstract description of an envisioned UI which is used to generate a context- and device-specific representation at run-time. Rendition in various modalities and adaption of the generated representation are also supported.


2011 ◽  
Vol 3 (3) ◽  
pp. 28-35 ◽  
Author(s):  
Claas Ahlrichs ◽  
Michael Lawo ◽  
Hendrik Iben

In the future, mobile and wearable devices will increasingly be used for interaction with surrounding technologies. When developing applications for those devices, one usually has to implement the same application for each individual device. Thus a unified framework could drastically reduce development efforts. This paper presents a framework that facilitates the development of context-aware user interfaces (UIs) with reusable components for those devices. It is based on an abstract description of an envisioned UI which is used to generate a context- and device-specific representation at run-time. Rendition in various modalities and adaption of the generated representation are also supported.


PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251521
Author(s):  
Jun Ruan ◽  
Zhikui Zhu ◽  
Chenchen Wu ◽  
Guanglu Ye ◽  
Jingfan Zhou ◽  
...  

Pathologists generally pan, focus, zoom and scan tissue biopsies either under microscopes or on digital images for diagnosis. With the rapid development of whole-slide digital scanners for histopathology, computer-assisted digital pathology image analysis has attracted increasing clinical attention. Thus, the working style of pathologists is also beginning to change. Computer-assisted image analysis systems have been developed to help pathologists perform basic examinations. This paper presents a novel lightweight detection framework for automatic tumor detection in whole-slide histopathology images. We develop the Double Magnification Combination (DMC) classifier, which is a modified DenseNet-40 to make patch-level predictions with only 0.3 million parameters. To improve the detection performance of multiple instances, we propose an improved adaptive sampling method with superpixel segmentation and introduce a new heuristic factor, local sampling density, as the convergence condition of iterations. In postprocessing, we use a CNN model with 4 convolutional layers to regulate the patch-level predictions based on the predictions of adjacent sampling points and use linear interpolation to generate a tumor probability heatmap. The entire framework was trained and validated using the dataset from the Camelyon16 Grand Challenge and Hubei Cancer Hospital. In our experiments, the average AUC was 0.95 in the test set for pixel-level detection.


Author(s):  
Beverly L. Giammara ◽  
Jennifer S. Stevenson ◽  
Peggy E. Yates ◽  
Robert H. Gunderson ◽  
Jacob S. Hanker

An 11mm length of sciatic nerve was removed from 10 anesthetized adult rats and replaced by a biodegradable polyester Vicryl™ mesh sleeve which was then injected with the basement membrane gel, Matrigel™. It was noted that leg sensation and movement were much improved after 30 to 45 days and upon sacrifice nerve reconnection was noted in all animals. Epoxy sections of the repaired nerves were compared with those of the excised segments by the use of a variation of the PAS reaction, the PATS reaction, developed in our laboratories for light and electron microscopy. This microwave-accelerated technique employs periodic acid, thiocarbohydrazide and silver methenamine. It stains basement membrane or Type IV collagen brown and type III collagen (reticulin), axons, Schwann cells, endoneurium and perineurium black. Epoxy sections of repaired and excised nerves were also compared by toluidine blue (tb) staining. Comparison of the sections of control and repaired nerves was done by computer-assisted microscopic image analysis using an Olympus CUE-2 Image Analysis System.


Information ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 162
Author(s):  
Soyeon Kim ◽  
René van Egmond ◽  
Riender Happee

In automated driving, the user interface plays an essential role in guiding transitions between automated and manual driving. This literature review identified 25 studies that explicitly studied the effectiveness of user interfaces in automated driving. Our main selection criterion was how the user interface (UI) affected take-over performance in higher automation levels allowing drivers to take their eyes off the road (SAE3 and SAE4). We categorized user interface (UI) factors from an automated vehicle-related information perspective. Short take-over times are consistently associated with take-over requests (TORs) initiated by the auditory modality with high urgency levels. On the other hand, take-over requests directly displayed on non-driving-related task devices and augmented reality do not affect take-over time. Additional explanations of take-over situation, surrounding and vehicle information while driving, and take-over guiding information were found to improve situational awareness. Hence, we conclude that advanced user interfaces can enhance the safety and acceptance of automated driving. Most studies showed positive effects of advanced UI, but a number of studies showed no significant benefits, and a few studies showed negative effects of advanced UI, which may be associated with information overload. The occurrence of positive and negative results of similar UI concepts in different studies highlights the need for systematic UI testing across driving conditions and driver characteristics. Our findings propose future UI studies of automated vehicle focusing on trust calibration and enhancing situation awareness in various scenarios.


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