references.bib

% Articles
@article{naylor2018segmentation,
abstract = {The advent of digital pathology provides us with the challenging opportunity to automatically analyze whole slides of diseased tissue in order to derive quantitative profiles that can be used for diagnosis and prognosis tasks. In particular, for the development of interpretable models, the detection and segmentation of cell nuclei is of the utmost importance. In this paper, we describe a new method to automatically segment nuclei from Haematoxylin and Eosin (HE) stained histopathology data with fully convolutional networks. In particular, we address the problem of segmenting touching nuclei by formulating the segmentation problem as a regression task of the distance map. We demonstrate superior performance of this approach as compared to other approaches using Convolutional Neural Networks.},
author = {Naylor, Peter and La{\'{e}}, Marick and Reyal, Fabien and Walter, Thomas},
doi = {10.1109/TMI.2018.2865709},
issn = {1558254X},
journal = {IEEE Transactions on Medical Imaging},
keywords = {Cancer research,deep learning,digital pathology,histopathology,nuclei segmentation},
number = {2},
pages = {448--459},
publisher = {IEEE},
title = {{Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map}},
volume = {38},
year = {2018}
}

% Github packages

@github{mieuxdumonde,
author = {Mathieu Guige},
year = {2019},
title = {Le mieux du monde, BST package},
url={https://gitlab.in2p3.fr/guiguem/lemieuxdumonde},
host={Gitlab}
}

@github{yunglong_thesis,
author = {Yunglong Jiao},
year = {2018},
title = {PhD repository of Yunglong Jiao},
url={https://github.com/YunlongJiao/phdthesis},
host={Github}
}


% Websites

@manual{TCGAwebsite,
  year   = "2005",
  title  = "The Cancer Genomic Atlas (TCGA) Research Network",
  url    = "http://cancergenome.nih.gov/"
}


% None of the above

@misc{database_nuclei_seg,
    author = {{Naylor Peter}},
    title = {{Dataset for Segmentation of Nuclei in Histopathology Images by deep regression of the distance map}},
    year = {2018},
    howpublished = {\url{https://zenodo.org/record/2579118}},
    note = {Online on February 16, 2018 } 
}