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Class-Specific Hierarchical Classification of HEp-2 Cell Images: The Case of Two Classes.

, , , , and . I3A@ICPR, page 6-9. IEEE Computer Society, (2014)

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Sequential Modeling of Deep Features for Breast Cancer Histopathological Image Classification., and . CVPR Workshops, page 2254-2261. Computer Vision Foundation / IEEE Computer Society, (2018)An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification Using CNN-Pooling and Color-Texture Features., and . ECDP, volume 11435 of Lecture Notes in Computer Science, page 172-180. Springer, (2019)Automated Classification for Breast Cancer Histopathology Images: Is Stain Normalization Important?, , , and . CARE/CLIP@MICCAI, volume 10550 of Lecture Notes in Computer Science, page 160-169. Springer, (2017)Hierarchical classification of HEP-2 cell images using class-specific features., , , and . EUVIP, page 1-6. IEEE, (2016)Random Forest-Based Feature Importance for HEp-2 Cell Image Classification., and . MIUA, volume 723 of Communications in Computer and Information Science, page 922-934. Springer, (2017)Role of Class-specific Features in Various Classification Frameworks for Human Epithelial (HEp-2) Cell Images., and . CoRR, (2018)Class-specific hierarchical classification for HEP-2 specimen images., , , and . ICIP, page 641-645. IEEE, (2015)Heterogeneous ensemble with information theoretic diversity measure for human epithelial cell image classification., and . Medical Biol. Eng. Comput., 59 (5): 1035-1054 (2021)An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification with Joint Colour-Texture Features., and . CAIP (2), volume 10425 of Lecture Notes in Computer Science, page 354-366. Springer, (2017)Partially-Independent Framework for Breast Cancer Histopathological Image Classification., and . CVPR Workshops, page 1123-1130. Computer Vision Foundation / IEEE, (2019)