作者: Mutlu Mete , Xiaowei Xu , Chun-Yang Fan , Gal Shafirstein
DOI: 10.1186/1471-2105-8-S7-S17
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摘要: Background Histopathology, which is one of the most important routines all laboratory procedures used in pathology, decisive for diagnosis cancer. Experienced histopathologists review histological slides acquired from biopsy specimen order to outline malignant areas. Recently, improvements imaging technologies terms image analysis led discovery virtual slides. In this technique, a computerized microscope scans glass slide and generates at resolution 0.25 μm/pixel. As recognition intrinsic cancer areas time consuming error prone, study we develop novel method tackle automatic squamous cell carcinoma head neck detection problem high-resolution, wholly-scanned histopathological