Features of Image Segmentation of the Upper Respiratory Tract for Planning of Rhinosurgical Surgery
| Autor: | Yana Nosova, Natalia O. Shushliapina, Ibrahim Younouss Abdelhamid, Valerii Semenets, Oleg Avrunin, Maksym Tymkovych |
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| Rok vydání: | 2019 |
| Předmět: |
Morphological processing
Basis (linear algebra) Computer science business.industry Process (computing) Automated segmentation Pattern recognition 030206 dentistry Image segmentation 03 medical and health sciences 0302 clinical medicine Data analysis Segmentation Artificial intelligence business 030217 neurology & neurosurgery Geometric data analysis |
| Zdroj: | 2019 IEEE 39th International Conference on Electronics and Nanotechnology (ELNANO). |
| DOI: | 10.1109/elnano.2019.8783739 |
| Popis: | Analysis of data of the SCT of the upper respiratory tract is the basis not only for the diagnosis, but also for the subsequent computer planning of rhinosurgical surgeries. For this, the process of automated segmentation of the anatomical structures of the nasal cavity is necessary, which significantly simplifies the preparation of geometric data for subsequent biophysical modeling. Segmentation of anatomical objects in this area should be carried out in two stages: selection of areas by density threshold values, subsequent marking of detected objects and post-processing -to eliminate artifacts and degenerate objects using morphological processing and logical filtering according to the geometric features of the analyzed objects. The arising segmentation errors are eliminated by the expert in an interactive mode. |
| Databáze: | OpenAIRE |
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