Forming Local Intersections of Projections for Classifying and Searching Histopathology Images

In this paper, we propose a novel image descriptor called Forming Local Intersections of Projections (FLIP) and its multi-resolution version (mFLIP) for representing histopathology images. The descriptor is based on the Radon transform wherein we apply parallel projections in small local neighborhoo...

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Veröffentlicht in:	arXiv.org 2020-08
Hauptverfasser:	Sriram, Aditya, Kalra, Shivam, Babaie, Morteza, Kieffer, Brady, Waddah Al Drobi, Rahnamayan, Shahryar, Kashani, Hany, Tizhoosh, Hamid R
Format:	Artikel
Sprache:	eng
Schlagworte:	Datasets Experiments Feature extraction Histograms Histopathology Image classification Intersections Radon transformation
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