Paper Info
Title
Towards Automated Tissue Characterization Using Parallel Bag-Of-Features Experts Dealing With Two-Photon Excitation Fluorescence And Second Harmonic Generation Microscopy Datasets
Abstract
Label-free tissue imaging with Multiphoton Microscopy (MPM) techniques such as Two-Photon Excitation Fluorescence Microscopy (TPEF) or Second Harmonic Generation Microscopy (SHG) can provide cues of similar pathologic relevance to the information collected for characterization / confirmation purposes with traditional histopathology protocols based on fixation and staining. To date, various approaches for the automated characterization of MPM datasets have been proposed, but usually these address the outputs of a single technique, while MPM imaging sessions can simultaneously yield multiple information categories associated to distinct modalities. We discuss here the main concepts of the Bag-of-Features (BoF) paradigm used for automated image classification and retrieval, and a series of past experiments that dealt with BoF based tissue characterization. Further on, we present some of our connected efforts placed on the problem of human epithelial tissue characterization with TPEF & SHG and introduce a concept for MPM data classification based on multiple BoF experts that utilize in a parallel manner complementary information categories.
Year
DOI
Venue
2018
10.1109/ICTON.2018.8473668
2018 20TH ANNIVERSARY INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON)
Keywords
DocType
ISSN
two-photon excitation fluorescence microscopy, second harmonic generation fluorescence microscopy, automated tissue characterization, bag-of-features
Conference
2162-7339
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
stefan g stanciu156.90
radu hristu204.39
Adrian Dumitru300.68
Roxana M. Buga400.68
Tiberiu Totu500.68
Marius Popescu600.34
Mariana Costache701.35