Self-CephaloNet: a two-stage novel framework using operational neural network for cephalometric analysis.

Saved in:
Bibliographic Details
Title: Self-CephaloNet: a two-stage novel framework using operational neural network for cephalometric analysis.
Authors: Sumon, Md. Shaheenur Islam1, sumon3455.ms@gmail.com, Islam, Khandaker Reajul2, khreaj@gmail.com, Hossain, Sakib Abrar3, mah690@uregina.ca, Rafique, Tanzila2, tanzila_rafique@bsmmu.edu.bd, Ghosh, Ranjit2, ghoshranjit53@yahoo.com, Hassan, Gazi Shamim2, drgazishamim@yahoo.com, Podder, Kanchon Kanti4, kpodder@students.kennesaw.edu, Barhom, Noha5, nuha@qu.edu.qa, Tamimi, Faleh5, fmarino@qu.edu.qa, Chowdhury, Muhammad E. H.1, mchowdhury@qu.edu.qa
Source: Neural Computing & Applications; Jun2025, Vol. 37 Issue 16, p9777-9805, 29p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
Description
ISSN:09410643
DOI:10.1007/s00521-025-11097-6