Method and apparatus for differentiating and processing images of normal benign and pre-cancerous and cancerous lesioned tissues using mixed reflected and autofluoresced light
作者： Nitzan Sneh , Mordechay Yacov Zahler
DOI:
关键词: Artificial intelligence 、 Segmentation 、 Light source 、 Computer vision 、 NTSC 、 Reflection (physics) 、 Color image 、 Filter wheel 、 Autofluorescence 、 Computer science 、 Frame grabber
摘要: A computerized apparatus implementing a real time detection algorithm for non drug-activated imaging diseases, e.g. in cervical and bladder tissues. The employs an ultra-bright metal halide light source, utilizing its definite sharp purple & green spectral lines, producing excitation to excite the tissue generate combined reflection autofluorescence from tissue. An advanced optical system, coupled digital color multi camera, is used collecting inspected This system contains miniature filter wheel, running synchronously with camera video frame—rate (i.e.—30 frames/sec NTSC or 25 PAL). Utilizing this synchronously-running wheel frame grabber buffering tasked spatial segmentation implementations, malignant pre-malignant tissues are automatically detected differed regular/benign Moreover, these (dysplasm/neoplasm) cancerous and/or pre-cancerous lesions marked (as glow overlays) on regular image.
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