Efficient Epiphyses Localization Using Regression Tree Ensembles and a Conditional Random Field

Autor:	Carsten Meyer, Hauke Schramm, Alexander Oliver Mader
Rok vydání:	2017
Předmět:	Conditional random field Spatial relation business.industry Simple (abstract algebra) Anatomical structures Decision tree Pattern recognition Artificial intelligence business Mathematics Task (project management)
Zdroj:	Informatik aktuell ISBN: 9783662543443 Bildverarbeitung für die Medizin
DOI:	10.1007/978-3-662-54345-0_42
Popis:	Accurate localization of sets of anatomical landmarks is a challenging task, yet often required in automatic analysis of medical images. Several groups – e.g., Donner et al. – have shown that it is beneficial to incorporate geometrical relations of landmarks into detection procedures for complex anatomical structures. In this paper, we present a two-step approach (compared to three steps as suggested by Donner et al.) combining regression tree ensembles with a Conditional Random Field (CRF), modeling spatial relations. The comparably simple combination achieves a localization rate of 99.6% on a challenging hand radiograph dataset showing high age-related variability, which is slightly superior than state-of-the-art results achieved by Hahmann et al.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d70046ccd861a89875b9a1e715c5ec69 https://doi.org/10.1007/978-3-662-54345-0_42 Zobrazit plný text záznamu