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Dokumenttyp:
journal article 
Autor(en):
Peter, Loïc; Mateus, Diana; Chatelain, Pierre; Schworm, Noemi; Stangl, Stefan; Multhoff, Gabriele; Navab, Nassir 
Titel:
Leveraging random forests for interactive exploration of large histological images. 
Abstract:
The large size of histological images combined with their very challenging appearance are two main difficulties which considerably complicate their analysis. In this paper, we introduce an interactive strategy leveraging the output of a supervised random forest classifier to guide a user through such large visual data. Starting from a forest-based pixelwise estimate, subregions of the images at hand are automatically ranked and sequentially displayed according to their expected interest. After e...    »
 
Zeitschriftentitel:
Medical image computing and computer-assisted intervention 
Jahr:
2014 
Band / Volume:
17 
Heft / Issue:
Pt 1 
Seitenangaben Beitrag:
1-8 
Sprache:
eng 
TUM Einrichtung:
Klinik und Poliklinik für RadioOnkologie und Strahlentherapie