作者: Elisa Ficarra , Enrico Macii , Giovanni De Micheli , Luca Benini
DOI: 10.1109/CBMS.2006.71
关键词: Computer-aided 、 Protein expression 、 Computer science 、 Artificial intelligence 、 Cellular biophysics 、 Pattern recognition 、 Medical imaging 、 Pathology
摘要: This work presents the first fully-automated computer-aided analysis approach to quantification of expression receptors for non-small cell lung carcinoma. immunohistochemical is usually performed by pathologists via visual inspection tissue samples images. Our techniques streamlines this error-prone and time-consuming process, thereby facilitating diagnosis. Experimental results on several real-life datasets demonstrate high quantitative precision our