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Automated classification of Pap smear images to detect cervical dysplasia.

, , , , and . Comput. Methods Programs Biomed., (2017)

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Near-set Based Mucin Segmentation in Histopathology Images for Detecting Mucinous Carcinoma., , , , , , , , and . J. Medical Systems, 41 (9): 144 (2017)A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images., , , , and . Artif. Intell. Medicine, (2020)On the Study of Childhood Medulloblastoma Auto Cell Segmentation from Histopathological Tissue Samples., and . PReMI (2), volume 11942 of Lecture Notes in Computer Science, page 3-12. Springer, (2019)Childhood Medulloblastoma Microscopic Images., and . (August 2020)Study on Contribution of Biological Interpretable and Computer-Aided Features Towards the Classification of Childhood Medulloblastoma Cells., , , , and . J. Medical Systems, 42 (8): 151:1-151:12 (2018)Automated Counting of Platelets and White Blood Cells from Blood Smear Images., , , and . PReMI (2), volume 11942 of Lecture Notes in Computer Science, page 13-20. Springer, (2019)Design and Analysis of an Isotropic Wavelet Features-Based Classification Algorithm for Adenocarcinoma and Squamous Cell Carcinoma of Lung Histological Images., and . PReMI (2), volume 11942 of Lecture Notes in Computer Science, page 50-60. Springer, (2019)Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network., , and . Neural Networks, (2020)Automated classification of Pap smear images to detect cervical dysplasia., , , , and . Comput. Methods Programs Biomed., (2017)Pap smear image classification using convolutional neural network., , , , and . ICVGIP, page 55:1-55:8. ACM, (2016)