Accurate Segmentation and Tracking of Chorda Tympani in Endoscopic Middle Ear Surgery with Artificial Intelligence
Objective: We introduce a novel endoscopic middle ear surgery dataset specifically designed for evaluating deep learning (DL)-based semantic segmentation of chorda tympani. Methods: We curated a dataset comprising 8240 images from 25 patients, divided into a training set (20%, 1648 images), validati...
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| Main Authors: | , , , , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
SAGE Publishing
2026-07-01
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| Series: | Ear, Nose & Throat Journal |
| Online Access: | https://doi.org/10.1177/01455613231212051 |
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