Interactive lung segmentation in abnormal human and animal chest CT scans.

Thessa T J P Kockelkorn, Cornelia M Schaefer-Prokop, Gracijela Bozovic, Arrate Muñoz-Barrutia, Eva M van Rikxoort, Matthew S Brown, Pim A de Jong, Max A Viergever, Bram van Ginneken

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

Sammanfattning

Many medical image analysis systems require segmentation of the structures of interest as a first step. For scans with gross pathology, automatic segmentation methods may fail. The authors' aim is to develop a versatile, fast, and reliable interactive system to segment anatomical structures. In this study, this system was used for segmenting lungs in challenging thoracic computed tomography (CT) scans.
Originalspråkengelska
Sidor (från-till)417-429
TidskriftMedical Physics
Volym41
Nummer8
DOI
StatusPublished - 2014

Ämnesklassifikation (UKÄ)

  • Biofysik

Fingeravtryck

Utforska forskningsämnen för ”Interactive lung segmentation in abnormal human and animal chest CT scans.”. Tillsammans bildar de ett unikt fingeravtryck.

Citera det här