2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS) 2010
DOI: 10.1109/cbms.2010.6042611
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Cited by 69 publications
(51 citation statements)
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“…These provide a more objective analysis which could be incorpo-14 rated into the overall test results. In recent years, we have seen significantly 15 growing interest in developing such systems [2,[10][11][12][13][14][15][16][17][18][19][20]. Nevertheless, the use 16 of private datasets with non-standard evaluation protocols makes it di cult 17 to draw meaningful conclusions from the existing works.…”
mentioning
confidence: 99%
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“…These provide a more objective analysis which could be incorpo-14 rated into the overall test results. In recent years, we have seen significantly 15 growing interest in developing such systems [2,[10][11][12][13][14][15][16][17][18][19][20]. Nevertheless, the use 16 of private datasets with non-standard evaluation protocols makes it di cult 17 to draw meaningful conclusions from the existing works.…”
mentioning
confidence: 99%
“…In recent years, we have seen significantly 15 growing interest in developing such systems [2,[10][11][12][13][14][15][16][17][18][19][20]. Nevertheless, the use 16 of private datasets with non-standard evaluation protocols makes it di cult 17 to draw meaningful conclusions from the existing works. Therefore, it is 18 critical to develop a standard evaluation platform in order to advance the 19 A c c e p t e d M a n u s c r i p t domain [2].…”
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confidence: 99%
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“…Hence, computer-aided diagnostic (CAD) systems aiming to determine the presence of ANAs in the IIF images, offers a solution to overcome all the above limitations and lead to more reliable test results. The typical flow consists of six main techniques, namely, automated preparation of slides with robotic devices [3], image acquisition [4,5], image segmentation [6], mitotic cell recognition [7], fluorescence intensity classification [8], and staining pattern recognition [2,9]. While all aspects of the CAD systems contribute to the automation of IIF procedure in one way or another, staining pattern classification is the most challenging task in the research community.…”
Section: Introductionmentioning
confidence: 99%