A New Model for Image Segmentation Based on Deep Learning

Authors

  • Rafeek Mamdouh Tawfiq Yanni Assistant Lecturer of Multimedia and Graphics Dept., Faculty of Filmmaking & Performing Arts, BADR University, Cairo, Egypt Ph.D. candidate, faculty of Comp and Inf. System, Mansoura Univ. Egypt, Mansoura University, Egypt
  • Nashaat El-Khameesy El-Ghitany Prof.Dr. of Computers and Information Systems Dept, Sadat Academy, Cairo, Egypt
  • Khaled Amer Prof. of HPB Surgery and Liver Transplantation, Military Medical Academy, Cairo, Egypt
  • Alaa Riad Prof. Dr. of Information Systems Dept., Faculty of Computer & Information Sciences,Mansoura University, Egypt
  • Hazem El-Bakry Prof. Dr. of Information Systems Dept., Faculty of Computer & Information Sciences, Mansoura University, Egypt

DOI:

https://doi.org/10.3991/ijoe.v17i07.21241

Keywords:

HYBRID ALGORITHM, Convolutional neural network (CNN), Active Contour Model(ACM), Digital Imaging and Communications in Medicine (DICOM), living donor liver transplantation (LDLT), histogram equalization, Gaussian Equation Medical Image Processing, Image

Abstract


Image segmentation of the medical image and its conversion into anatomical models is an important technique and main point in computer vision (CV) and image processing (IP), training tools that are used routinely in the fields of medicine and surgery. Segmenting images and converting them into a model that depends on its work on the different algorithms and the extent of technological advancement and method of application. The advancement of segmentation algorithms has led to the possibility of creating three-dimensional models for the patient to study without endangering his life. This paper describes a combination of two fields of solving segmentation problem to convert through the workflow of a hybrid algorithm structure Convolutional neural network (CNN, Active Contour & Deep Multi-Planar) and seg3d2 to switch DICOM medical rays “Digital Imaging and Communications in Medicine” into a 3Dimintional model, using data from active contour to be the input of deep learning. This research will be using are human liver DICOM images and is divided into two stages (medical image segmentation - retinal model optimization). This is to help doctors and surgeons to study the patient’s condition with accuracy and efficiency through the use of mixed reality technology in liver surgery [living donor liver transplantation (LDLT)], all implement by Seg3D2 and Python.

Author Biographies

Rafeek Mamdouh Tawfiq Yanni, Assistant Lecturer of Multimedia and Graphics Dept., Faculty of Filmmaking & Performing Arts, BADR University, Cairo, Egypt Ph.D. candidate, faculty of Comp and Inf. System, Mansoura Univ. Egypt, Mansoura University, Egypt

  • Rafeek Mamdouh Tawfiq, corresponding author, Ph.D. candidate, faculty of Comp and Inf. System, Mansoura Univ. Egypt. Received BSC of (MIS) Management Information System in 2006 from Shorouk academy, Cairo, Egypt, and  MSc in computer graphics and information system, specializing Visualization & 3D-Motion Capture,  Sadat Academy 2013, Cairo, Egypt. He was worked at Brainwaves SME system analysis and design of simulation and visualization department and 3d graphic designer (2007-2011), his worked supervisor of motion capture department at Arab Gulf Production and NEWTECH media production in (2014, 2017). He is mainly interested in machine learning applications, IoT, Algorithms, 3D Visualizations and Knowledge discovery in Azure. Rafeek works as an assistant lecturer at the British University and Shorouk Academy and other institutes from 2012 to 2017. Rafeek work an assistant lecturer at faculty of filmmaking and performing arts, BADR University, Cairo, Egypt to present. Rafeek has published papers in international journal indexed ISI, Scopus and web of Sciences. (Email:rafeekmty@hotmail.com)

Nashaat El-Khameesy El-Ghitany, Prof.Dr. of Computers and Information Systems Dept, Sadat Academy, Cairo, Egypt

Prof. Dr. NASHAAT  EL-KHAMEESY EL-GHITANYProf. of Computers & Information System,x Dean Sadat Academy for Management Sciences (SAMs), Cairo, Egypt

Dr. Nashaat  graduated as  the top of his major class1974 during his BSc in Elec. Eng the Military Technical College, (MTC) Cairo,  Egypt.  He completed Diploma in elect. & computers eng-Ain Shams Faculty of Eng and MSc. in computers, Faculty of Eng. Cairo-University 1980. He earned his PhD in Electrical Eng, Ohio State Univ., USA, 1988. He started his academic career in MTC, where he was appointed many academic & leadership positions ending with director of R&D Branch. He was assigned as Dean of computers , Sadat Academy , Cairo Egypt since 1998  where he was appointed many academic leadership positions: SAMs University President Nominee in 2010, University Council member, Director of R&D, Dean of college of Port Said, Tanta, and Mansoura branches, SAMs 2000-2007. He was the Director of  the Consultancy, R&D  of SAMS till 2013.

Dr Nashaat was awarded  Int. and nationally including the Spanish Royal Academy Award 2011, Best of  AMSE Award ( Association for the Advancements in Modeling and Simulation for Enterprises, Award of the distinguished Academic leadership Univ. of Texas &AM, the int. Olympic Committee Scientific National Prize of Technical Scientific Research 1995 , Egypt.

He has a long experience as top consultant for manufacturing and business firms where he supervised many granted including chairing the R&D of  REEM industries, Incosteel, Infit (international joint steel industrial Egyptian German), Tax Authority, Holding Company of Irrigation Land reclamation, the sales Tax authority, Egypt. 

DR Nashaat has  over 120 publications in international journals and conferences while also  supervised over 100 MSc and PhD dissertation, and he's the author of many text books in areas of informatics, e business and health informatics. His current research interest includes    business intelligence, e-business & e-gov., performance enhancement, and cyber security

 He has quite an impreesive record regarding int. collaborations and he's the Vice-president of the Int. Association for Advanced Modeling and Simulation for Enterprises (AMSE) ( www.amse-modeling.org), Barcelona-Paris. He's also the co-founder of the Egyptian Association for Computers And Information Technology(ESIS-ACT) and the ICI committee( Texas A&M-USA, Esterhazy Academy-Hungary, Open Univ.-Malaysia, Agri-Media). He also addressed many keynotes in many events locally and internationally.(wessasalsol@gmail.com)

Khaled Amer, Prof. of HPB Surgery and Liver Transplantation, Military Medical Academy, Cairo, Egypt

Dr. Khaled Amer is best known for his exceptional work in the Military Medical Services, as the “Chief Consultant  for Liver Transplantation and Liver Research”. In addition, he is also currently holding other significant positions in other institutes, in Cairo, Egypt, such as, being the “Professor of General Surgery” & the “General Surgery Board Member” in the Military Medical Academy, “Consultant of Hepatobiliary and Live Transplant Surgeon in the Gastrointestinal Surgery Department” at the International Medical Center, and above all the CEO of the Egyptian Center for Research and Regenerative Medicine. Dr. Amer previously held other important positions, some of which included, the “Dean” at Armed Forces College of Medicine . Dr. Amer was graduated from the Faculty of Medicine at Ain Shams University, Cairo, Egypt in 1983 and received his Medical Doctorate of Surgery, on November 2000, from the Faculty of Medicine at Ain Shams University, and his Fellowship of the Royal College of Surgeons England, on October 2014. During his work in “Living Donor Liver Transplantation” (LDLT), Dr. Amer had the privilege to collaborate with multiple foreign experts/institutes in his field of work. He worked on the graft selection in LDLT at Kings College, UK. In Kyoto University, Japan, and Kobe Institute for Research & Innovations, Japan.  Aside from his impressive work and educational background, Dr. Amer is also an active member in some of the major professional societies, which include, International Society of Liver Transplantation (ISLT), International College of Surgeon (ICS), European Association of Endoscopic Surgery (EAES), Society of American Gastrointestinal & Endoscopic Surgeons (SAGES), Egyptian Society of Surgeons (ESS) and last but not least, a member of the founder board of the Egyptian Society of Surgeons Group of Hepatobilary and Pancreatic Surgeons (EGHBPS).

Alaa Riad, Prof. Dr. of Information Systems Dept., Faculty of Computer & Information Sciences,Mansoura University, Egypt

Prof. Dr. A. M. Riad, Professor and Ex-Dean of Faculty of Computers and Information Systems, Mansoura University, Egypt. He has received BS, MS, and PhD. in Electrical Engineering in 1982, 1988, and 1992 respectively, from Mansoura University, Faculty of Engineering, Egypt. Prof. Dr. Riad has authored and coauthored many research papers in published journals. He also has supervised many Master and Doctorate studies. He is a member in Egyptian Universities Promotion Committees ( 2008 – 2011), and (No. 47,  January 2013 - December 2015) (EUPC). Peer reviewer/Consultant in National Authority for Quality Assurance and Accreditation of Education, the Authority give accreditation to all institutions, schools, faculty's private and public (from 1-2-2010 up to now). Reviewer in several national and international scientific journals. Information about publications, activities and personal blog are available at the Web site: http://www.amriad.com or http://www.amriad.name.eg. amriad2014@gmail.com

Hazem El-Bakry, Prof. Dr. of Information Systems Dept., Faculty of Computer & Information Sciences, Mansoura University, Egypt

Hazem El-Bakry (Mansoura, EGYPT 20-9-1970) received B.Sc. degree in Electronics Engineering, and M.Sc. in Electrical Communication Engineering from the Faculty of Engineering, Mansoura University - Egypt, in 1992 and 1995 respectively. Dr. El-Bakry received Ph. D degree from University of Aizu-Japan in 2007. Currently, he is full professor at the Faculty of Computer Science and Information Systems - Mansoura University-Egypt. He is the head of Information Systems Dept. His research interests include neural networks, pattern recognition, image processing, biometrics, cooperative intelligent systems and electronic circuits. In these areas, he has published many papers in major international journals and refereed international conferences. According to academic measurements, now the total number of citations for his publications is 3698 and the H-index of his publications is 30. Dr. El-Bakry has the United States Patent No. 20060098887, 2006. Furthermore, he is associate editor for journal of computer science and network security (IJCSNS) and journal of convergence in information technology (JCIT). In addition, he is a referee for IEEE Transactions on Signal Processing, Journal of Applied Soft Computing, the International Journal of Machine Graphics and Vision, the International Journal of Computer Science and Network Security, Enformatika Journals, WSEAS Journals and many different international conferences organized by IEEE. Moreover, he has been awarded the Japanese Computer and Communication prize in April 2006 and the best paper prize in two conferences cited by ACM. He has also been awarded Mansoura university prize for scientific publication in 2010 and 2011. Dr. El-Bakry has been selected in who Asia 2006 and BIC 100 educators in Africa 2008.(Email: elbakry@mans.edu.eg)

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Published

2021-07-02

How to Cite

Yanni, R. M. T., El-Ghitany, N. E.-K., Amer, K., Riad, A., & El-Bakry, H. (2021). A New Model for Image Segmentation Based on Deep Learning. International Journal of Online and Biomedical Engineering (iJOE), 17(07), pp. 28–47. https://doi.org/10.3991/ijoe.v17i07.21241

Issue

Vol. 17 No. 07 (2021)

Section

Papers