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@article{bb195656,
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@article{bb195660,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical851hep1.html#TT190885"}

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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical851hep1.html#TT190886"}

@article{bb195664,
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@article{bb195665,
        AUTHOR = "Ensafi, S. and Lu, S. and Kassim, A.A. and Tan, C.L.",
        TITLE = "Accurate HEp-2 cell classification based on Sparse Coding of
Superpixels",
        JOURNAL = PRL,
        VOLUME = "82, Part 1",
        YEAR = "2016",
        NUMBER = "1",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical851hep1.html#TT190888"}

@article{bb195666,
        AUTHOR = "Gragnaniello, D. and Sansone, C. and Verdoliva, L.",
        TITLE = "Cell image classification by a scale and rotation invariant dense
local descriptor",
        JOURNAL = PRL,
        VOLUME = "82, Part 1",
        YEAR = "2016",
        NUMBER = "1",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical851hep1.html#TT190889"}

@article{bb195667,
        AUTHOR = "Li, Y. and Shen, L. and Yu, S.",
        TITLE = "HEp-2 Specimen Image Segmentation and Classification Using Very Deep
Fully Convolutional Network",
        JOURNAL = MedImg,
        VOLUME = "36",
        YEAR = "2017",
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        MONTH = "July",
        PAGES = "1561-1572",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical851hep1.html#TT190890"}

@article{bb195668,
        AUTHOR = "Lei, H. and Han, T. and Zhou, F. and Yu, Z. and Qin, J. and Elazab, A. and Lei, B.",
        TITLE = "A deeply supervised residual network for HEp-2 cell classification
via cross-modal transfer learning",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical851hep1.html#TT190891"}

@article{bb195669,
        AUTHOR = "Shen, L.L. and Jia, X. and Li, Y.",
        TITLE = "Deep cross residual network for HEp-2 cell staining pattern
classification",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical851hep1.html#TT190892"}

@article{bb195670,
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        TITLE = "Segmentation of Vasculature From Fluorescently Labeled Endothelial
Cells in Multi-Photon Microscopy Images",
        JOURNAL = MedImg,
        VOLUME = "38",
        YEAR = "2019",
        NUMBER = "1",
        MONTH = "January",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical851hep1.html#TT190893"}

@article{bb195671,
        AUTHOR = "Al Milaji, Z. and Ersoy, I. and Hafiane, A. and Palaniappan, K. and Bunyak, F.",
        TITLE = "Integrating segmentation with deep learning for enhanced
classification of epithelial and stromal tissues in H&E images",
        JOURNAL = PRL,
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        YEAR = "2019",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical851hep1.html#TT190894"}

@article{bb195672,
        AUTHOR = "Al Dulaimi, K. and Chandran, V. and Nguyen, K. and Banks, J. and Tomeo Reyes, I.",
        TITLE = "Benchmarking HEp-2 specimen cells classification using linear
discriminant analysis on higher order spectra features of cell shape",
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        YEAR = "2019",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical851hep1.html#TT190895"}

@article{bb195673,
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        TITLE = "Cytokeratin-Supervised Deep Learning for Automatic Recognition of
Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67",
        JOURNAL = MedImg,
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        YEAR = "2020",
        NUMBER = "2",
        MONTH = "February",
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@article{bb195674,
        AUTHOR = "Bajic, B. and Majtner, T. and Lindblad, J. and Sladoje, N.",
        TITLE = "Generalised deep learning framework for HEp-2 cell recognition using
local binary pattern maps",
        JOURNAL = IET-IPR,
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        YEAR = "2020",
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        MONTH = "May",
        PAGES = "1201-1208",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical851hep1.html#TT190897"}

@article{bb195675,
        AUTHOR = "Chandran, M.C. and Jose, M.V.",
        TITLE = "Optimised hybrid classifiers for automatic HEp-2 cell classification",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical851hep1.html#TT190898"}

@article{bb195676,
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        TITLE = "Rough-Bayesian approach to select class-pair specific descriptors for
HEp-2 cell staining pattern recognition",
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@inproceedings{bb195677,
        AUTHOR = "Jorgensen, B. and Al Dulaimi, K. and Banks, J.",
        TITLE = "HEp-2 Specimen Cell Detection and Classification Using Very Deep
Convolutional Neural Networks-Based Cell Shape",
        BOOKTITLE = DICTA21,
        YEAR = "2021",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical851hep1.html#TT190900"}

@inproceedings{bb195678,
        AUTHOR = "Majtner, T.",
        TITLE = "HEp-2 Cell Image Recognition with Transferable Cross-Dataset Synthetic
Samples",
        BOOKTITLE = CAIP21,
        YEAR = "2021",
        PAGES = "I:215-225",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical851hep1.html#TT190901"}

@inproceedings{bb195679,
        AUTHOR = "Shephard, A.J. and Graham, S. and Bashir, R.M.S. and Jahanifar, M. and Mahmood, H. and Khurram, S.A. and Rajpoot, N.M.",
        TITLE = "Simultaneous Nuclear Instance and Layer Segmentation in Oral
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        YEAR = "2021",
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@inproceedings{bb195680,
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Mitotic Spindle Type Specimens",
        BOOKTITLE = CAIP19,
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Spheroid Models of Human Mammary Epithelial Cell Lines",
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Multiresolution Texture Descriptor",
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@inproceedings{bb195696,
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