Spectral band selection for mitosis detection in histopathology

Humayun Irshad, Alexandre Gouaillard, Ludovic Roux and Daniel Racoceanu

Working Paper from Harvard University OpenScholar

Abstract: This study aims at evaluating the accuracy of mitosis detection on multispectral histopathological images by developing a solution specifically designed to take advantage of multi-spectral information. The proposed framework includes a selection of spectral bands and focal plane, detection of candidate mitotic regions, computation of morphological & mul-tispectral statistical features (MMSF) and study of different state-of-the-art classification methods for mitosis classification. This framework achieved 74% TPR, 76% PPV and 74% F-Measure on MITOS dataset. Our results indicate that selected multispectral bands contain discriminant information for mitotic figures, being therefore a very promising exploration area to improve the quality of the diagnosis assistance in histopathology.

Keywords: Absorption; breast; cancer; feature; extraction; Frequency; modulation; histopathology; mitosis; detection; multispectral; images; Mutual; information; Redundancy; spectral; band; selection (search for similar items in EconPapers)
Pages: 1279-1282
Date: 2017-04
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Persistent link: https://EconPapers.repec.org/RePEc:qsh:wpaper:221826

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