Raimund Leitner

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Multispectral endoscopy images provide potential for early stage cancer detection. This paper considers this relatively novel imaging technique and presents a supervised method for cancer detection using such mul-tispectral data. The data under consideration include different types of cancer. This poses a challenge for the detection as different cancer(More)
a r t i c l e i n f o Detecting edges in multispectral images is difficult because different spectral bands may contain different edges. Existing approaches calculate the edge strength of a pixel locally, based on the variation in intensity between this pixel and its neighbors. Thus, they often fail to detect the edges of objects embedded in background(More)
—Breast carcinoma is the most common form of cancer in women. Multicolour fluorescent in-situ hybridisation (m-FISH) is a common method for staging breast carcinoma. The interpretation of m-FISH images is complicated due to two effects: (i) Spectral overlap in the emission spectra of fluorochrome marked DNA probes and (ii) tissue autofluorescence. In this(More)
Edge detection in hyperspectral images is an intrinsically difficult problem as the gray value intensity images related to single spectral bands may show different edges. The few existing approaches are either based on a straight forward combining of these individual edge images, or on finding the outliers in a region segmentation. As an alternative, we(More)
Many industrial object-sorting applications leverage benefits of hyperspectral imaging technology. Design of object sorting algorithms is a challenging pattern recognition problem due to its multi-level nature. Objects represented by sets of pixels/spectra in hyperspectral images are to be allocated into pre-specified sorting categories. Sorting categories(More)
—Fluorescence microscopy plays an important role in the classification of cancerous tissue. Fluorescent in situ hybridization (FISH) is a common method for marking different cell components (e.g. nucleus, cytoplasm, proteins) as well as specific DNA positions or whole DNA sequences. The FISH method/variant used in this paper facilitates a special(More)
—Near-infrared (NIR) spectroscopy is a widely used method for material identification for laboratory and industrial applications. While standard spectrometers only allow measurements at one sampling point at a time, NIR Spectral Imaging techniques can measure, in real-time, both the size and shape of an object as well as identify the material the object is(More)