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        AUTHOR = "Gecer, B. and Aksoy, S. and Mercan, E. and Shapiro, L.G. and Weaver, D.L. and Elmore, J.G.",
        TITLE = "Detection and classification of cancer in whole slide breast
histopathology images using deep convolutional networks",
        JOURNAL = PR,
        VOLUME = "84",
        YEAR = "2018",
        PAGES = "345-356",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163879"}

@article{bb168401,
        AUTHOR = "Tellez, D. and Balkenhol, M. and Otte Holler, I. and van de Loo, R. and Vogels, R. and Bult, P. and Wauters, C. and Vreuls, W. and Mol, S. and Karssemeijer, N. and Litjens, G. and van der Laak, J. and Ciompi, F.",
        TITLE = "Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3
as a Reference to Train Distilled Stain-Invariant Convolutional
Networks",
        JOURNAL = MedImg,
        VOLUME = "37",
        YEAR = "2018",
        NUMBER = "9",
        MONTH = "September",
        PAGES = "2126-2136",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163880"}

@inproceedings{bb168402,
        AUTHOR = "Ma, M. and Shi, Y. and Li, W. and Gao, Y. and Xu, J.",
        TITLE = "A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer
Histology Images",
        BOOKTITLE = ICPR18,
        YEAR = "2018",
        PAGES = "3892-3897",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163881"}

@inproceedings{bb168403,
        AUTHOR = "Rakhlin, A. and Shvets, A. and Iglovikov, V. and Kalinin, A.A.",
        TITLE = "Deep Convolutional Neural Networks for Breast Cancer Histology Image
Analysis",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "737-744",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163882"}

@inproceedings{bb168404,
        AUTHOR = "Wang, Z. and Dong, N. and Dai, W. and Rosario, S.D. and Xing, E.P.",
        TITLE = "Classification of Breast Cancer Histopathological Images using
Convolutional Neural Networks with Hierarchical Loss and Global Pooling",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "745-753",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163883"}

@inproceedings{bb168405,
        AUTHOR = "Mahbod, A. and Ellinger, I. and Ecker, R. and Smedby, O. and Wang, C.",
        TITLE = "Breast Cancer Histological Image Classification Using Fine-Tuned Deep
Network Fusion",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "754-762",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163884"}

@inproceedings{bb168406,
        AUTHOR = "Ferreira, C.A. and Melo, T. and Sousa, P. and Meyer, M.I. and Shakibapour, E. and Costa, P. and Campilho, A.",
        TITLE = "Classification of Breast Cancer Histology Images Through Transfer
Learning Using a Pre-trained Inception Resnet V2",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "763-770",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163885"}

@inproceedings{bb168407,
        AUTHOR = "Brancati, N. and Frucci, M. and Riccio, D.",
        TITLE = "Multi-classification of Breast Cancer Histology Images by Using a
Fine-Tuning Strategy",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "771-778",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163886"}

@inproceedings{bb168408,
        AUTHOR = "Cao, H. and Bernard, S. and Heutte, L. and Sabourin, R.",
        TITLE = "Improve the Performance of Transfer Learning Without Fine-Tuning Using
Dissimilarity-Based Multi-view Learning for Breast Cancer Histology
Images",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "779-787",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163887"}

@inproceedings{bb168409,
        AUTHOR = "Awan, R. and Koohbanani, N.A. and Shaban, M. and Lisowska, A. and Rajpoot, N.",
        TITLE = "Context-Aware Learning Using Transferable Features for Classification
of Breast Cancer Histology Images",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "788-795",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163888"}

@inproceedings{bb168410,
        AUTHOR = "Kone, I. and Boulmane, L.",
        TITLE = "Hierarchical ResNeXt Models for Breast Cancer Histology Image
Classification",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "796-803",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163889"}

@inproceedings{bb168411,
        AUTHOR = "Chennamsetty, S.S. and Safwan, M. and Alex, V.",
        TITLE = "Classification of Breast Cancer Histology Image using Ensemble of
Pre-trained Neural Networks",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "804-811",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163890"}

@inproceedings{bb168412,
        AUTHOR = "Vesal, S. and Ravikumar, N. and Davari, A. and Ellmann, S. and Maier, A.",
        TITLE = "Classification of Breast Cancer Histology Images Using Transfer
Learning",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "812-819",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163891"}

@inproceedings{bb168413,
        AUTHOR = "Galal, S. and Sanchez Freire, V.",
        TITLE = "Candy Cane: Breast Cancer Pixel-Wise Labeling with Fully Convolutional
Densenets",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "820-826",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163892"}

@inproceedings{bb168414,
        AUTHOR = "Guo, Y. and Dong, H. and Song, F. and Zhu, C. and Liu, J.",
        TITLE = "Breast Cancer Histology Image Classification Based on Deep Neural
Networks",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
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@inproceedings{bb168415,
        AUTHOR = "Golatkar, A. and Anand, D. and Sethi, A.",
        TITLE = "Classification of Breast Cancer Histology Using Deep Learning",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "837-844",
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@inproceedings{bb168416,
        AUTHOR = "Wang, Y. and Sun, L.L. and Ma, K. and Fang, J.",
        TITLE = "Breast Cancer Microscope Image Classification Based on CNN with Image
Deformation",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "845-852",
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@inproceedings{bb168417,
        AUTHOR = "Iesmantas, T. and Alzbutas, R.",
        TITLE = "Convolutional Capsule Network for Classification of Breast Cancer
Histology Images",
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        YEAR = "2018",
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@inproceedings{bb168418,
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        TITLE = "Ensemble Network for Region Identification in Breast Histopathology
Slides",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "861-868",
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@inproceedings{bb168419,
        AUTHOR = "Nawaz, W. and Ahmed, S. and Tahir, A. and Khan, H.A.",
        TITLE = "Classification Of Breast Cancer Histology Images Using ALEXNET",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "869-876",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163898"}

@inproceedings{bb168420,
        AUTHOR = "Pimkin, A. and Makarchuk, G. and Kondratenko, V. and Pisov, M. and Krivov, E. and Belyaev, M.",
        TITLE = "Ensembling Neural Networks for Digital Pathology Images Classification
and Segmentation",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "877-886",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163899"}

@inproceedings{bb168421,
        AUTHOR = "Sarmiento, A. and Fondon, I.",
        TITLE = "Automatic Breast Cancer Grading of Histological Images Based on Colour
and Texture Descriptors",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "887-894",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163900"}

@inproceedings{bb168422,
        AUTHOR = "Vu, Q.D. and To, M.N.N. and Kim, E. and Kwak, J.T.",
        TITLE = "Micro and Macro Breast Histology Image Analysis by Partial Network
Re-use",
        BOOKTITLE = ICIAR18,
        YEAR = "2018",
        PAGES = "895-902",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163901"}

@inproceedings{bb168423,
        AUTHOR = "Kohl, M. and Walz, C. and Ludwig, F. and Braunewell, S. and Baust, M.",
        TITLE = "Assessment of Breast Cancer Histology Using Densely Connected
Convolutional Networks",
        BOOKTITLE = ICIAR18,
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        PAGES = "903-913",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical858bcc1.html#TT163902"}

@inproceedings{bb168424,
        AUTHOR = "Vang, Y.S. and Chen, Z. and Xie, X.H.",
        TITLE = "Deep Learning Framework for Multi-class Breast Cancer Histology Image
Classification",
        BOOKTITLE = ICIAR18,
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@inproceedings{bb168425,
        AUTHOR = "Huang, C.H. and Brodbeck, J. and Dimaano, N.M. and Kang, J. and Dogdas, B. and Rollins, D. and Gifford, E.M.",
        TITLE = "Automated Breast Cancer Image Classification Based on Integration of
Noisy-And Model and Fully Connected Network",
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@inproceedings{bb168426,
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@inproceedings{bb168427,
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@inproceedings{bb168428,
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@inproceedings{bb168429,
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@inproceedings{bb168430,
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@inproceedings{bb168431,
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in HER2/neu Images",
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@inproceedings{bb168432,
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@inproceedings{bb168433,
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@inproceedings{bb168434,
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@inproceedings{bb168435,
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on texture and pathological features",
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@article{bb168455,
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Last update:Sep 9, 2019 at 16:26:55