Automated methods for sella turcica segmentation on cephalometric radiographic data using deep learning (CNN) techniques.
Journal:
Oral radiology
PMID:
35737215
Abstract
OBJECTIVE: The objective of this work is to present a novel technique using convolutional neural network (CNN) architectures for automatic segmentation of sella turcica (ST) on cephalometric radiographic image dataset. The proposed work suggests possible deep learning approaches to distinguish ST on complex cephalometric radiographs using deep learning techniques.