Detail publikačního výsledku

Computer Aided Diagnosis of Spine in Computed Tomography: Research Progress – From Manual to Deep Learning

CHMELÍK, J.; NOHEL, M.; OUŘEDNÍČEK, P.; JAKUBÍČEK, R.

Originální název

Computer Aided Diagnosis of Spine in Computed Tomography: Research Progress – From Manual to Deep Learning

Anglický název

Computer Aided Diagnosis of Spine in Computed Tomography: Research Progress – From Manual to Deep Learning

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

Computer-Aided Diagnosis (CAD) systems have become common tools to assist medical professionals with accurate and fast diagnostic decisions. In particular, imaging methods are highly demanding on the quantity of generated data, where the output is volumetric data often together with multimodality, multiple contrast, or multiple time scans. In this contribution, we present our CAD pipeline for analysis of spine lesions in volumetric CT images, which helps physicians diagnose the disease, determine the appropriate treatment, and also observe its effectiveness during follow-up examinations. We showed that image segmentation steps are an integral part of CAD systems, and moreover, deep-learning methods outperform standard image processing ones and are able to work on the human precision level.

Anglický abstrakt

Computer-Aided Diagnosis (CAD) systems have become common tools to assist medical professionals with accurate and fast diagnostic decisions. In particular, imaging methods are highly demanding on the quantity of generated data, where the output is volumetric data often together with multimodality, multiple contrast, or multiple time scans. In this contribution, we present our CAD pipeline for analysis of spine lesions in volumetric CT images, which helps physicians diagnose the disease, determine the appropriate treatment, and also observe its effectiveness during follow-up examinations. We showed that image segmentation steps are an integral part of CAD systems, and moreover, deep-learning methods outperform standard image processing ones and are able to work on the human precision level.

Klíčová slova

CAD;CT;Spine

Klíčová slova v angličtině

CAD;CT;Spine

Autoři

CHMELÍK, J.; NOHEL, M.; OUŘEDNÍČEK, P.; JAKUBÍČEK, R.

Vydáno

01.04.2026

Nakladatel

Springer

Místo

Cham

ISBN

978-3-032-06530-8

Kniha

CMBEBIH 2025

Periodikum

IFMBE Proceedings

Svazek

133

Číslo

April

Stát

Francouzská republika

Strany od

198

Strany do

207

Strany počet

10

URL

https://link.springer.com/chapter/10.1007/978-3-032-06531-5_19

BibTex

@inproceedings{BUT199523,
  author="Jiří {Chmelík} and Michal {Nohel} and Petr {Ouředníček} and Roman {Jakubíček}",
  title="Computer Aided Diagnosis of Spine in Computed Tomography: Research Progress – From Manual to Deep Learning",
  booktitle="CMBEBIH 2025",
  year="2026",
  journal="IFMBE Proceedings",
  volume="133",
  number="April",
  pages="198--207",
  publisher="Springer",
  address="Cham",
  doi="10.1007/978-3-032-06531-5\{_}19",
  isbn="978-3-032-06530-8",
  issn="1680-0737",
  url="https://link.springer.com/chapter/10.1007/978-3-032-06531-5_19"
}