A novel framework for esophageal cancer grading: combining CT imaging, radiomics, reproducibility, and deep learning insights.

Abstract

Authors

• Muna Alsallal
  Electronics and Communication Department, College of Engineering, Al- Muthanna University, Education Zone, AL-Muthanna, Iraq.
• Hanan Hassan Ahmed
  College of Pharmacy, Alnoor University, Mosul, Iraq.
• Radhwan Abdul Kareem
  Ahl al Bayt University, Kerbala, Iraq.
• Anupam Yadav
  Department of Computer Engineering and Application, GLA University, Mathura, 281406, India.
• Subbulakshmi Ganesan
  Department of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India.
• Aman Shankhyan
  Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India.
• Sofia Gupta
  Department of Chemistry, Chandigarh Engineering College, Chandigarh Group of Colleges-Jhanjeri, Mohali, Punjab, 140307, India.
• Kamal Kant Joshi
  Department of Allied Science, Graphic Era Hill University, Dehradun, Uttarakhand, 248002, India.
• Hayder Naji Sameer
  Collage of Pharmacy, National University of Science and Technology, Dhi Qar, 64001, Iraq.
• Ahmed Yaseen
  Gilgamesh Ahliya University, Baghdad, Iraq.
• Zainab H Athab
  Department of Pharmacy, Al-Zahrawi University College, Karbala, Iraq.
• Mohaned Adil
  Pharmacy College, Al-Farahidi University, Baghdad, Iraq.
• Bagher Farhood
  Department of Medical Physics and Radiology, Faculty of Paramedical Sciences, Kashan University of Medical Sciences, Kashan, Iran. bffarhood@gmail.com.

Keywords

External Resources