@article{zhu2018negative,
  title={Negative log likelihood ratio loss for deep neural network classification},
  author={Zhu, Donglai and Yao, Hengshuai and Jiang, Bei and Yu, Peng},
  journal={arXiv preprint arXiv:1804.10690},
  year={2018}
}

@inproceedings{van1979information,
  title={Information retrieval: theory and practice},
  author={Van Rijsbergen, C},
  booktitle={Proceedings of the Joint IBM/University of Newcastle upon Tyne Seminar on Data Base Systems},
  volume={79},
  year={1979}
}

@article{chicco2020advantages,
  title={The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation},
  author={Chicco, Davide and Jurman, Giuseppe},
  journal={BMC genomics},
  volume={21},
  number={1},
  pages={1--13},
  year={2020},
  publisher={BioMed Central}
}

@article{jaccard1901etude,
  title={{\'E}tude comparative de la distribution florale dans une portion des Alpes et des Jura},
  author={Jaccard, Paul},
  journal={Bull Soc Vaudoise Sci Nat},
  volume={37},
  pages={547--579},
  year={1901}
}

@article{yerushalmy1947statistical,
  title={Statistical problems in assessing methods of medical diagnosis, with special reference to X-ray techniques},
  author={Yerushalmy, Jacob},
  journal={Public Health Reports (1896-1970)},
  pages={1432--1449},
  year={1947},
  publisher={JSTOR}
}

@book{cohen2013statistical,
  title={Statistical power analysis for the behavioral sciences},
  author={Cohen, Jacob},
  year={2013},
  publisher={Academic press}
}

@inproceedings{milletari2016v,
  title={V-net: Fully convolutional neural networks for volumetric medical image segmentation},
  author={Milletari, Fausto and Navab, Nassir and Ahmadi, Seyed-Ahmad},
  booktitle={2016 fourth international conference on 3D vision (3DV)},
  pages={565--571},
  year={2016},
  organization={Ieee}
}

@inproceedings{abraham2019novel,
  title={A novel focal tversky loss function with improved attention u-net for lesion segmentation},
  author={Abraham, Nabila and Khan, Naimul Mefraz},
  booktitle={2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019)},
  pages={683--687},
  year={2019},
  organization={IEEE}
}

@article{tversky1977features,
  title={Features of similarity.},
  author={Tversky, Amos},
  journal={Psychological review},
  volume={84},
  number={4},
  pages={327},
  year={1977},
  publisher={American Psychological Association}
}

@inproceedings{salehi2017tversky,
  title={Tversky loss function for image segmentation using 3D fully convolutional deep networks},
  author={Salehi, Seyed Sadegh Mohseni and Erdogmus, Deniz and Gholipour, Ali},
  booktitle={International workshop on machine learning in medical imaging},
  pages={379--387},
  year={2017},
  organization={Springer}
}

@article{taghanaki2019combo,
  title={Combo loss: Handling input and output imbalance in multi-organ segmentation},
  author={Taghanaki, Saeid Asgari and Zheng, Yefeng and Zhou, S Kevin and Georgescu, Bogdan and Sharma, Puneet and Xu, Daguang and Comaniciu, Dorin and Hamarneh, Ghassan},
  journal={Computerized Medical Imaging and Graphics},
  volume={75},
  pages={24--33},
  year={2019},
  publisher={Elsevier}
}

@inproceedings{yi2004automated,
  title={Automated image segmentation using improved PCNN model based on cross-entropy},
  author={Yi-de, Ma and Qing, Liu and Zhi-Bai, Qian},
  booktitle={Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2004.},
  pages={743--746},
  year={2004},
  organization={IEEE}
}

@inproceedings{sudre2017generalised,
  title={Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations},
  author={Sudre, Carole H and Li, Wenqi and Vercauteren, Tom and Ourselin, Sebastien and Jorge Cardoso, M},
  booktitle={Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Qu{\'e}bec City, QC, Canada, September 14, Proceedings 3},
  pages={240--248},
  year={2017},
  organization={Springer}
}

@article{provost2001robust,
  title={Robust classification for imprecise environments},
  author={Provost, Foster and Fawcett, Tom},
  journal={Machine learning},
  volume={42},
  pages={203--231},
  year={2001},
  publisher={Springer}
}