Design of Autonomous Learning System for Medical Imaging Diagnosis

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Biotechnology Frontier

Biotechnology Frontier (Yearly) is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of biotechnology technology. The main focus of the journal is the academic papers, comments and research review of latest improvement in the fields of Biotechnology technology, microorganism, medicine, agriculture & forestry, edible fungus, light food, environmental protection and related, aiming at... [More] Biotechnology Frontier (Yearly) is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of biotechnology technology. The main focus of the journal is the academic papers, comments and research review of latest improvement in the fields of Biotechnology technology, microorganism, medicine, agriculture & forestry, edible fungus, light food, environmental protection and related, aiming at providing a good communication platform to transfer, share and discuss the theoretical and technical development of electrical theory development for professionals, scholars, researchers and administrative staffs in this field, reflecting the academic front level, promote academic change and foster the development of biotechnology technology.

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Paper Infomation

Design of Autonomous Learning System for Medical Imaging Diagnosis

Full Text(PDF, 829KB)

Author: Fengling Xu

Abstract: Medical imaging diagnosis is a highly practical discipline, and students need to learn through exposure to a large number of real clinical imaging cases. However, traditional textbook teaching cannot meet the practical needs of students. To this end, this paper proposes a new autonomous learning system for medical imaging diagnosis, which aims to improve students' learning enthusiasm and diagnostic skills. The system is developed based on the B/S architecture, and uses the Linux+Apache+PHP+Mysql technology combination to implement the functionality of the web server. For the PACS image storage server, the Linux+Apache+FTP architecture is used to efficiently store various types of image files. This paper presents a new single-user exclusive server system design approach that can effectively improve server utilization and service performance. After a large number of experimental tests in the classroom, the system runs stably and can meet the diagnostic learning needs of students, with good research and promotion significance.

Keywords: Medical Imaging Diagnosis, Autonomous Learning System, B/S Architecture, C/S Architecture

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