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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)

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Type P63 Digitized Color Images Performs Better Identification for Ovarian Tissue Analysis., , and . MDA, page 48-58. ibai Publishing, (2016)PredictingRice crop yield using Bayesian networks., , and . ICACCI, page 795-799. IEEE, (2016)Automatic Identification of Malaria Using Image Processing and Artificial Neural Network., , , and . ISDA, volume 736 of Advances in Intelligent Systems and Computing, page 846-857. Springer, (2017)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)Fingerprint Based Gender Identification Using Digital Image Processing and Artificial Neural Network., , , and . ISDA, volume 736 of Advances in Intelligent Systems and Computing, page 1018-1027. Springer, (2017)Characterising the Impact of Drought on Jowar (Sorghum spp) Crop Yield Using Bayesian Networks., and . ISDA, volume 736 of Advances in Intelligent Systems and Computing, page 979-987. Springer, (2017)Overlapping Cell Nuclei Segmentation in Digital Histology Images using Intensity-based Contours., , , , and . DICTA, page 1-9. IEEE, (2021)An Automated Detection Process to Detect Ovarian Tissues Using Type P63 Digitized Color Images., , and . ICTAI, page 278-285. IEEE Computer Society, (2015)The application of data mining techniques to characterize agricultural soil profiles., , and . AusDM, volume 70 of CRPIT, page 85-100. Australian Computer Society, (2007)Designing a multilanguage blended learning system for Thai agricultural science students., , and . TALE, page 131-138. IEEE, (2016)