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ABSTRACT
Advancement in technology has changed the viewpoint of the public towards the medical field. Patients believe in the correct diagnosis of a deformity/defect improper functioning before the commencement of actual treatment. Presentation of imaging strategies makes ease in doctors’ life. Now, they can provide satisfactory treatment to patients without performing hit and preliminary trials. The 2-Dimensional (2-D) imaging techniques give a clear idea of simple bone fractures but fail in visualising multiple fractures in a bone. 3-Dimensional (3-D) techniques overcome the challenges of 2-D imaging. In case of any injury such as fracture, arthritis, etc, doctor’s mainly recommended Computerised Tomography or Magnetic Resonance Imaging of the affected part for the correct diagnosis. Computed Tomography scan is a collection of multiple image slices of a target body part. These slices provide a fair idea of intra-articular fractures. Magnetic Resonance Imaging deals with soft tissues for the correct diagnosis of defects. Computed Tomography scan exposes a patient with high ionising radiations of X-Rays, which make a patient more prone to cancer. Moreover, Computerised Tomography and Magnetic Resonance Imaging are unaffordable for the economically weaker section of society due to their high cost. The drawback of 3-Dimaging techniques motivates researchers to develop a model that accept X-Ray image as an input and yields 3-D view at all possible angels from 0° to 360° for a fed image. To serve this purpose, authors propose an innovative Conditional Generative Adversarial network machine learning model that takes input of an X-Ray image and predicts its multi-view.
Acknowledgments
Authors would like to acknowledge the SCR Dana Shivam Hospital, Jaipur for providing the dataset.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
Nitesh Pradhan
Mr Nitesh Pradhan is an Assistant Professor, Computer Science and EngineeringManipal University Jaipur, IndiaBiography: Mr Pradhan is assistant professor in Department of Computer Science and Engineering, Manipal University Jaipur. His research interest include Machine Learning, Data Mining, and Artificial intelligence. He has 5 years of teaching experience. He is GATE qualified with 99.2 percentile. He is also Nucleus Member of E-Cell from last 2 years. He has 2 copyrights named as Crop_Bid and NavPark. He has published good research paper in reputed journal and conferences.
Vaibhav Singh
Mr Vaibhav Singh is a Student, Computer and Communication Engineering Manipal University Jaipur, India Biography: He is a student of BTech CCE at Manipal University Jaipur. Presently he is in 7 th semester. His skill sets basically includes Artificial Intelligence and Image processing. Throughout his BTech, he has done many projects focused on the same of the remarkable ones are Automatic Colorization of Images and Facial Recognition. He has also been an active participant in hackathons and managed to win the GIT Hackathon. Apart from this, he also has copyright named Crop_Bid.
Virat Kumar
Mr Virat Kumar is a Student, Computer and Communication Engineering Manipal University Jaipur, India Biography: He is a student of BTech CCE at Manipal University Jaipur. Presently he is in 7 th semester. His skill sets basically includes Machine Learning and Natural Language Processing. Throughout his BTech, he has done many projects focused on the same of the remarkable ones are Automatic Colorization of Images and Handwritten Text Recognition. He has also been an active participant in hackathons and managed to reach the finals of Smart India Hackathon(SIH -2019). Apart from this, he is also working on other research projects in the field of Machine Learning and Natural Language Processing.
Parth Goel
Mr Parth Goel is a Student, Computer Science and Engineering Manipal University Jaipur, India Biography: He is a student of BTech CSE at Manipal University Jaipur. Presently he is in 5 th semester. His skill sets basically includes Deep Learning and Computer Vision. Throughout his BTech, he has done many projects focused on the same of the remarkable ones are Navigation System for the Blind and Facial Recognition. He has also been an active participant in hackathons and was the runner up in the GIT Hackathon. Apart from this, he is also working on other research projects in the field of Deep Learning and Computer Vision.
Vijaypal Singh Dhaka
Dr Vijaypal Singh Dhaka is a Professor, Computer Science and EngineeringHead, Dept. of Computer and Communication EngineeringManipal University Jaipur, IndiaBiography: Prof V S Dhaka is Director-Innovations and Professor and Head-Department of Computer and Communication Engineering, Manipal University Jaipur, India. He is an enthusiastic and motivating technocrat with 15 years of research and academic experience. He has hundreds of research papers published in high impact factor journals of SCI indexed, and other reputed journals. His research expertise includes Artificial Intelligence, Pattern recognition and Medical Imaging. He has received 8 IPRs. In his able leadership, students have won many prizes at the national and international level Competitions. He lays strong emphasis on automation projects for University, developed by students, and has been successful in deploying 6 such projects in university. He has served on various key positions including Director of Innovations, Dean of Academics, Chief Editor for International Journal and Head of Department. He authored 6 books and guided 11 research scholars to earn Ph.D. He has organized several international conferences supported by ACM, Springer and Elsevier. He is invited by various Universities and institutions to deliver keynote addresses and plenary talks. Dr. Dhaka has successfully executed many projects (research and student) funded by Government of India.