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Home / Journals / Computational Biology and Bioinformatics / Recent Advances in Biomedical Image Processing and Retrieval
Recent Advances in Biomedical Image Processing and Retrieval
Lead Guest Editor:
Dr. Yaswanth Bhanumurthy
Department of Electronics and Communication Engineering, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India
Guest Editors
Kande Giribabu
Electronics and Communication Engineering, Vasireddy Venkatadri Institute of Technology
Guntur, Andhra Pradesh, India
Edara Sreenivasareddy
Computer Science and Engineering, Acharya Nagarjuna University
Guntur, Andhra Pradesh, India
Mookaiah Muthu Ramakrishnan
Electronics and Computer Engineering, Ngee Ann Polytechnic
Singapore
Tirumala Satya Savithri
Electronics and Communication Engineering, Jawaharlal Nehru Technological University
Hyderabad, Telangana, India
Anne Koteswararao
Computer Science and Engineering, Vel Tech University
Chennai, Tamil Nadu, India
Panakala Rajesh Kumar
Electronics and Communication Engineering, PVP Siddhartha Institute of Technology
Vijayawada, Andhra Pradesh, India
Bhuma Anuradha
Electronics and Communication Engineering, Sri Venkateswara University
Tirupathi, Andhra Pradesh, India
Sundarapandian Vaidyanathan
Research and Development Department, Vel Tech University
Chennai, Tamil Nadu, India
Pasumarthi Mallikarjunarao
Electronics and Communication Engineering Department, Andhra University
Visakhapatnam, Andhra Pradesh, India
Siddhartha Sankar Satapathy
Computer Science and Engineering Department, Tezpur University
Tezpur, Assam, India
Introduction
Modern image processing techniques that transpired from single modality research areas are now being switched towards hybrid methods with advanced and improved computational propositions that can be administered to images obtained from multiple modalities or numerous sources. Such image statistics is manifold, and the substantial quantity of data introduced via the hybrid techniques necessitates upcoming range of image processing technology to be augmented. To meet this challenge, customarily familiar image preprocessing procedures such as feature extraction, image fusion, classification and segmentation need to have assimilated intelligent methods that can tackle with the bulk and diversity of the information, and often be able to integrate and process data from non-imaging sources.

This special issue concentrates on image analysis issues that underscore new methods of examining complex images from single or multimodality systems, or systems that integrate imaging with non-imaging data. Manuscripts that narrates applications of advanced image processing solutions to biomedical and clinical fields are explicitly welcome.

Aims and Scope:
Computer-Assisted Diagnosis
Image-Guided Therapy
Treatment Monitoring and Planning
2D and 3D Modeling
BIG Data Integration
Image Retrieval Mechanisms
Rehabilitation and Home Care
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