Open architecture computer‐aided diagnosis system

Abstract

In this study an approach to open architecture computer-aided diagnosis (CAD) is presented. The traditional goal of a CAD system, to assist the physicians in performing the diagnosis and treatment, has been extended. The platform also supports the system designer in developing a new CAD workflow by implementing general-purpose modules as well as problem-dependent procedures. A new CAD may require new procedures to be added, yet some of the already implemented functions can be employed. The CAD environment is subjected to the developmental process of three systems: the multiple sclerosis CAD, the lung nodule CAD and the pneumothorax CAD. Modules and procedures are briefly described and the CAD systems are evaluated. Results obtained during the CAD evaluation show prospective flexibility of the infrastructure. The trade-offs, well known to CAD designers, can easily be handled by the operators in a user-friendly manner by choosing various workflow paths.

Computer recognition systems

“…Pietka et al (2010), in their paper ‘Open architecture computer‐aided diagnosis system’, extend the traditional goal of a computer‐aided diagnosis (CAD) system to assist physicians in performing diagnosis and treatment. The presented platform helps the system designer in developing a new CAD workflow by implementing general‐purpose modules as well as problem‐dependent procedures.…”

Accelerometric signals in automatic balance assessment

“…overall and detailed motion characteristics, activity time distribution, etc. To do so, a remotely accessible computer-aided diagnosis (CAD) [25] AAL system has been proposed [24], employing mobile data acquisition devices with inertial sensors at the lowest level of the architecture. Preliminary study on signal personalization in feature domain has been reported in [26].…”

CAPSOCA: hybrid technique for nosologic segmentation of primary brain tumors

“…While these are highly accurate and fast, they still require experienced and competent medical practitioners for the proper interpretation [4]. Thus, computer aided diagnosis is significantly useful due to the fact that it could enhance the results of humans in such domain [5,6].…”

“…The involvements of information technology in the development of various applications have completely changed the world. The noticeable reasons for the introduction of computer systems are reliability, accuracy, simplicity and ease of use [5][6][7]. Moreover, it has become almost compulsory to use computers to assist radiological experts in clinical diagnosis and treatment planning due to the increasing use of imaging for diagnosis, treatment planning and clinical studies [8,9].…”