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

, , и . AMDO, том 9756 из Lecture Notes in Computer Science, стр. 44-54. Springer, (2016)

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Shahriar Sharafat

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A Framework to Figure Out Breast Cancer Cells Using Ultrasound Images., , , и . ICCCNT, стр. 1-6. IEEE, (2020)A Comprehensive Analysis: Automated Ovarian Tissue Detection Using Type P63 Pathology Color Images., , и . MLDM, том 9729 из Lecture Notes in Computer Science, стр. 714-727. Springer, (2016)Type P63 Non-counter Stained Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis., , и . IV, стр. 361-366. IEEE Computer Society, (2016)Type P63 Digitized Color Images Performs Better Identification for Ovarian Tissue Analysis., , и . MDA, стр. 48-58. ibai Publishing, (2016)An automated approach to detect human ovarian tissues using type P63 counter stained histopathology digitized color images., , и . BHI, стр. 25-28. IEEE, (2016)Type P63 digitized color images performs better identification for ovarian reproductive tissue analysis., , и . IPAS, стр. 1-6. IEEE, (2016)Type P63 Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis., , и . AMDO, том 9756 из Lecture Notes in Computer Science, стр. 44-54. Springer, (2016)An Automated Detection Process to Detect Ovarian Tissues Using Type P63 Digitized Color Images., , и . ICTAI, стр. 278-285. IEEE Computer Society, (2015)