Toufique Ahmed Soomro
Charles Sturt University, Australia & Quaid-e-Awam Engineering, Science & Technology Pakistan
E-mail: tsoomro@csu.edu.au, toufique_soomro@quest.edu.pk.
Junbin Gao
The University of Sydney, Australia
E-mail: junbin.gao@sydney.edu.au.
Manoranjan Paul
Charles Sturt University, Australia
E-mail: mpaul@csu.edu.au
Lihong Zheng
Charles Sturt University, Australia
E-mail: lzheng@csu.edu.au
There has been a surge of opportunities for the development of deep learning algorithms and image techniques platforms for Medical images such retinal images analysis, ultrasound images, brain images, breast cancer analysis etc. With the advances in image processing and artificial intelligence, computer vision-based techniques, traditional machine learning and deep learning techniques have been applied rapidly and widely in the field of medical images analysis and are becoming a better way to advance in every medical field in practice. This workshop aims to gather high quality research papers on newly propose work as well as start-of-the-art With the advances in image processing and artificial intelligence, computer vision-based techniques, traditional machine learning and deep learning techniques for medical image modalities as well as basic research papers based on basic concept of developing the medical diagnostic by using these techniques. . We encourage papers on deep learning and imaging processing techniques with all types of contributions including theoretical, engineering and applied.
Authors can submit their double blind paper to the workshop organiser at tsoomro@csu.edu.au or tofique_soomro@quest.edu.pk . In the subject, please mention Deep Learning and Image Processing Techniques for Retinal Images Analysis Workshop Paper - PSIVT 2019.
Papers should describe original and unpublished work about the related topics. Each paper will receive double blind reviews, moderated by the workshop chairs. Authors should take into account the following:
