Call for Papers - SI on DLHCSUBD

Special Issue on Deep Learning in the Health Care Systems Using Big Data

Aims and Scope

Deep Learning is one of the most common subdivisions of Artificial Intelligence. ML can transform both patient care and the administrative processes of the industry. We have already enough research to prove that Machine Learning often surpasses humans in the diagnosis of disease. Algorithms are already doing a better job spotting malignant tumors than actual radiologists. Machine Learning for healthcare technologies provides algorithms with self-learning neural networks that are able to increase the quality of treatment by analyzing external data on a patient’s condition, their X-rays, CT scans, various tests, and screenings. Also, worth mentioning, deep learning is now largely used for detecting cancer cells. The model is given tons of cancer cell pictures to “memorize” their look.

Lead Guest Editor


Dr. Ramdas Vankdothu
Osmania University, India
Research Interests: Artificial Intelligence, Machine Learning, Deep Learning, Big Data

Guest Editors


Dr. Raju Bhukya
National Institute of Technology (Warangal), India
Research Interests: Artificial Intelligence, Machine Learning, Bioinformatics, Big Data


Dr. Balaji Banothu
National Institute of Technology (Tiruchirappalli), India
Research Interests: Artificial Intelligence, Big Data, Image Processing, Machine Learning, Deep Learning


Dr. Ahmed Jabas
Shaqra University, Saudi Arabia
Research Interests: Artificial Intelligence, Big Data, Image Processing, Machine Learning, Deep Learning, Cloud Computing

Special Issue Information

Potential topics for submissions include but are not limited to:

  • Image denoising using Machine Learning (ML)/ Deep Learning (DL) using Big Data
  • Image Registration using ML/DL using Big Data
  • Tumor Segmentation using ML/DL using Big Data
  • ML/DL-based Classification of tumors using Big Data
  • Computer Aided Detection (CADe) System for cancer using Big Data
  • Computer Aided Diagnosis (CADx) System for cancer using Big Data

Manuscript Submission Information

Submission deadline: 30 November 2023

Submissions that pass pre-check will be reviewed by at least two reviewers of the specific field. Accepted papers will be published on early access first and sent for copy editing and typesetting. Then all papers will be included in the special issue when it is published.

If you have any queries regarding the special issue or other matters, please feel free to contact the editorial office: sharon@jdsiseditorial.com / sharonlin@bonviewpress.org