OGTCN-E-MGO: an optimized deep learning framework for EEG-based schizophrenia detection.
Saved in:
| Title: | OGTCN-E-MGO: an optimized deep learning framework for EEG-based schizophrenia detection. |
|---|---|
| Authors: | Milner Paul V; Department of Electrical Engineering, National Institute of Technology Manipur (NITM), Imphal, India. 19404004.phd@nitmanipur.ac.in.; Department of Electrical and Electronics Engineering, Christ College of Engineering, Thrissur, Kerala, India. 19404004.phd@nitmanipur.ac.in., Parekkattil AV; Department of Electronics and Communication, Indian Institute of Technology Roorkee (IITR), Roorkee, India., Kumar DS; Panimalar Medical College Hospital and Research Institute, Poonamallee, Chennai, Tamilnadu, India., Francis J; Department of Zoology, Christ College, Irinjalakuda, Kerala, India., Nair LDV; Saveetha CDC, Saveetha Institute of Medical and Technical Science, Thandalam, Chennai, Tamilnadu, India., Jarin T; Jyothi Engineering College, APJ Abdul Kalam Technological University, Thirussur, Kerala, India., Singh LS; Department of Electronics and Communication, National Institute of Technology Manipur (NITM), Imphal, India., Adhikari S; Department of Electrical Engineering, National Institute of Technology Manipur (NITM), Imphal, India. |
| Source: | Physical and engineering sciences in medicine [Phys Eng Sci Med] 2026 Jun; Vol. 49 (2), pp. 655-669. Date of Electronic Publication: 2026 Jan 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Switzerland NLM ID: 101760671 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-4737 (Electronic) Linking ISSN: 26624729 NLM ISO Abbreviation: Phys Eng Sci Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!