A New Semi-automatic Approach for X-ray Cervical Images Segmentation using Active Shape Model
نویسندگان
چکیده
The present paper described the technique to evaluate digital resolution (DR), Visual Magnification (VM), onScreen Magnification (SM) and Useful magnification (US) in order to compare image quality and resolution for diagnostic purposes on computer assisted microscopes including Multi-Modal Miniature Microscopes-4M.The study was done on surgical pathology and cytological specimens comparing analog microscopic images versus digital Small Size Virtual Slides (SSVS) images. The SSVS were obtained with an 8 megapixel camera, in JPEG2000 format using a super-resolution algorithm of capture. The field of view-FOV images showed four times higher discrimination power, in spite of the low sampling density. The region of interest-ROI images, with a sampling density close to Shannon theory showed six times higher discrimination power. OnScreen magnification FOV achieved 640x and ROI 3200x augments that could never been reached using analog microscopy. The paper demonstrates that SSVS are ideal for hand-held microscopes or even mobile phones with ad-on capture systems.
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