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Type P63 Non-counter Stained Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis.

, , and . IV, page 361-366. IEEE Computer Society, (2016)

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Type P63 Non-counter Stained Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis., , and . IV, page 361-366. IEEE Computer Society, (2016)An Automated Detection Process to Detect Ovarian Tissues Using Type P63 Digitized Color Images., , and . ICTAI, page 278-285. IEEE Computer Society, (2015)An automated approach to detect human ovarian tissues using type P63 counter stained histopathology digitized color images., , and . BHI, page 25-28. IEEE, (2016)Type P63 digitized color images performs better identification for ovarian reproductive tissue analysis., , and . IPAS, page 1-6. IEEE, (2016)Type P63 Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis., , and . AMDO, volume 9756 of Lecture Notes in Computer Science, page 44-54. Springer, (2016)Programming a Parallel Computer for Robot Vision.. Comput. J., 21 (3): 215-218 (1978)A Comprehensive Analysis: Automated Ovarian Tissue Detection Using Type P63 Pathology Color Images., , and . MLDM, volume 9729 of Lecture Notes in Computer Science, page 714-727. Springer, (2016)Type P63 Digitized Color Images Performs Better Identification for Ovarian Tissue Analysis., , and . MDA, page 48-58. ibai Publishing, (2016)