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Histopatolojik görüntülerin makine öğrenmesi yöntemleri ile analizi (Analysis of histopathological images via machine learning methods)

. Yıldız Technical University, Turkey, (2018)

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Breast cancer mitosis detection in histopathological images with spatial feature extraction., and . ICMV, volume 9067 of SPIE Proceedings, page 90670L. SPIE, (2013)A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability., , , , , , , , and . Medical Biol. Eng. Comput., 59 (7): 1545-1561 (2021)Automatic cell segmentation in histopathological images via two-staged superpixel-based algorithms., and . Medical Biol. Eng. Comput., 57 (3): 653-665 (2019)Detection of mitotic cells in histopathological images using textural features., and . SIU, page 1-4. IEEE, (2013)Effects of color spaces to the cell segmentation in histopathological images., and . SIU, page 829-832. IEEE, (2016)Metaphase finding with deep convolutional neural networks., , , , and . Biomed. Signal Process. Control., (2019)Classification of tumor regions in histopathological images using convolutional neural networks., , , and . SIU, page 1-4. IEEE, (2018)Superpixel approach in high resolution histopathological image segmentation., and . SIU, page 1-4. IEEE, (2017)Superpixel-based segmentation of glottal area from videolaryngoscopy images., , , and . J. Electronic Imaging, 26 (6): 61608 (2017)Detection of mitotic cells in breast cancer histopathological images using deep versus handcrafted features., , and . Multim. Tools Appl., 81 (10): 13179-13202 (2022)