Science Score: 18.0%

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  • Host: GitHub
  • Owner: simonebortolin
  • License: mit
  • Language: TeX
  • Default Branch: main
  • Size: 9.33 MB
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  • Watchers: 1
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Created about 5 years ago · Last pushed over 3 years ago
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  • Name: Simone
  • Login: simonebortolin
  • Kind: user
  • Location: Italy

Citation (citations.bib)

@inproceedings{giorgio_cenni_2008,
  address   = {Pollenzo (Cuneo)},
  title     = {Cenni storici. {La} videolaringoscopia.},
  booktitle = {{XXXII} {Convegno} {Nazionale} di {Aggiornamento} 2008},
  author    = {Giorgio, Sperati and Delfo, Casolino and Daria, Salsi},
  year      = {2008}
}

@article{lumini_plankton,
  author = {Lumini, Alessandra and Nanni, Loris and Maguolo, Gianluca},
  year   = {2019},
  month  = {08},
  title  = {Deep learning for Plankton and Coral Classification}
}

@article{moccia_larynge,
  author  = {Moccia, Sara and De Momi, Elena and Guarnaschelli, Marco and Savazzi, Matteo and Laborai, Andrea},
  year    = {2017},
  month   = {09},
  pages   = {1},
  title   = {Confident texture-based laryngeal tissue classification for early stage diagnosis support},
  volume  = {4},
  journal = {Journal of Medical Imaging}
}

@article{patrini_tl,
  author  = {Patrini, Ilaria and Ruperti, Michela and Moccia, Sara and Mattos, Leonardo and Frontoni, Emanuele and De Momi, Elena},
  year    = {2020},
  month   = {03},
  pages   = {},
  title   = {Transfer learning for informative-frame selection in laryngoscopic videos through learned features},
  volume  = {58},
  journal = {Medical \& Biological Engineering \& Computing}
}

@article{unibo_maltoni_ml,
  author       = {Davide Maltoni},
  journal      = {Machine Learning - Materiale di Supporto al Corso},
  title        = {Deep Learning},
  organization = {Università degli studi di Bologna},
  year         = {2021}
} 

@article{yosinski_tl,
  author  = {Yosinski, Jason and Clune, Jeff and Bengio, Y. and Lipson, Hod},
  year    = {2014},
  month   = {11},
  title   = {How transferable are features in deep neural networks?},
  volume  = {27},
  journal = {Advances in Neural Information Processing Systems (NIPS)}
}

@article{pan_tl,
  author  = {Pan, Sinno Jialin and Yang, Qiang},
  journal = {IEEE Transactions on Knowledge and Data Engineering},
  title   = {A Survey on Transfer Learning},
  year    = {2010},
  volume  = {22},
  number  = {10},
  pages   = {1345-1359}
}


@misc{team_keras_nodate,
  title      = {Keras documentation: {Transfer} learning \& fine-tuning},
  shorttitle = {Keras documentation},
  url        = {https://keras.io/guides/transfer_learning/},
  abstract   = {Keras documentation},
  language   = {en},
  urldate    = {2021-06-28},
  author     = {Team, Keras}
}

@misc{joel_ft_tl_lfs,
  title  = {Fine Tuning vs. Transfer learning vs. Learning from scratch},
  author = {Joel Carneiro}
}

@article{joel_tl,
  title   = {A novel deep learning based framework for the detection and classification of breast cancer using transfer learning},
  journal = {Pattern Recognition Letters},
  volume  = {125},
  pages   = {1-6},
  year    = {2019},
  author  = {Joel Carneiro and SanaUllah Khan and Naveed Islam and Zahoor Jan and Ikram {Ud Din}}
}

@article{alexnet,
  author  = {Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey},
  year    = {2012},
  month   = {01},
  title   = {ImageNet Classification with Deep Convolutional Neural Networks},
  volume  = {25},
  journal = {Neural Information Processing Systems}
}


@misc{dataaugmentation,
  author = {Wimmer, Georg and Uhl, Andreas and Vécsei, Andreas},
  year   = {2017},
  month  = {10},
  pages  = {1-6},
  title  = {Evaluation of domain specific data augmentation techniques for the classification of celiac disease using endoscopic imagery}
}
@misc{nanni_dct_pca,
  author = {Nanni, Loris and Brahnam, Sheryl and Ghidoni, Stefano and Maguolo, G.},
  year   = {2019},
  month  = {04},
  title  = {General Purpose (GenP) Bioimage Ensemble of Handcrafted and Learned Features with Data Augmentation}
}

@misc{syed_dct,
  author       = {Syed Ali Khayam},
  title        = {The Discrete Cosine Transform (DCT): Theory and Application},
  organization = {Michigan State University},
  year         = {2003}
} 

@article{permual_contrast,
  author  = {Perumal, S. and T, Velmurugan},
  year    = {2018},
  month   = {01},
  pages   = {3681-3688},
  title   = {Preprocessing by contrast enhancement techniques for medical images},
  volume  = {118},
  journal = {International Journal of Pure and Applied Mathematics}
}

@article{zhi_enseble,
  title   = {Ensembling neural networks: Many could be better than all},
  journal = {Artificial Intelligence},
  volume  = {137},
  number  = {1},
  pages   = {239-263},
  year    = {2002},
  author  = {Zhi-Hua Zhou and Jianxin Wu and Wei Tang}
}

@article{narbalata_larynge,
  author  = {Barbalata, Corina and Mattos, Leonardo S.},
  journal = {IEEE Journal of Biomedical and Health Informatics},
  title   = {Laryngeal Tumor Detection and Classification in Endoscopic Video},
  year    = {2016},
  volume  = {20},
  number  = {1},
  pages   = {322-332}
}

@article{pandey_contrast,
  author    = {Pandey, Pratibha and Dewangan, Kranti Kumar and Dewangan, Deepak Kumar},
  booktitle = {2017 International Conference on Communication and Signal Processing (ICCSP)},
  title     = {Enhancing the quality of satellite images by preprocessing and contrast enhancement},
  year      = {2017},
  pages     = {56-60}
}

@article{hummel_histogram,
  title    = {Image enhancement by histogram transformation},
  journal  = {Computer Graphics and Image Processing},
  volume   = {6},
  number   = {2},
  pages    = {184-195},
  year     = {1977},
  author   = {Robert Hummel},
  abstract = {A number of simple and inexpensive enhancement techniques are suggested. These techniques attempt to make use of easily computed local context, features to aid in the reassignment of each point's gray level during histogram transfomation.}
}

@misc{gamma,
  title   = {Understanding {Gamma} {Correction}},
  url     = {https://www.cambridgeincolour.com/tutorials/gamma-correction.htm},
  urldate = {2021-07-05}
}

@book{gonzalez_dip,
  author    = {Gonzalez, Rafael C. and Woods, Richard E.},
  isbn      = {978-1-292-22304-9 1-292-22304-9},
  publisher = {Pearson},
  refid     = {137312858},
  title     = {Digital image processing (4rd Edition)},
  year      = 2018
}

@article{spaepen_resolution,
  author  = {Spaepen, Pieter and De Boodt, Sebastian and Aerts, Jean-Marie and Vander Sloten, Jos},
  year    = {2011},
  month   = {03},
  pages   = {209-30},
  title   = {Digital Image Processing of Live/Dead Staining},
  volume  = {740},
  journal = {Methods in molecular biology (Clifton, N.J.)}
}

@article{imagenet,
  author  = {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei},
  title   = {{ImageNet Large Scale Visual Recognition Challenge}},
  year    = {2015},
  journal = {International Journal of Computer Vision (IJCV)},
  doi     = {10.1007/s11263-015-0816-y},
  volume  = {115},
  number  = {3},
  pages   = {211-252}
}

@article{moccia_larynge_2,
  title    = {Learning-based classification of informative laryngoscopic frames},
  journal  = {Computer Methods and Programs in Biomedicine},
  volume   = {158},
  pages    = {21-30},
  year     = {2018},
  issn     = {0169-2607},
  author   = {Sara Moccia and Gabriele O. Vanone and Elena De Momi and Andrea Laborai and Luca Guastini and Giorgio Peretti and Leonardo S. Mattos},
  keywords = {Larynx, Endoscopy, Frame selection, Supervised classification}
}

@inproceedings{zhang_colon,
  author    = {Zhang, Lei and Dolwani, Sunil and Ye, Xujiong},
  editor    = {Vald{\'e}s Hern{\'a}ndez, Mar{\'i}a and Gonz{\'a}lez-Castro, V{\'i}ctor},
  title     = {Automated Polyp Segmentation in Colonoscopy Frames Using Fully Convolutional Neural Network and Textons},
  booktitle = {Medical Image Understanding and Analysis},
  year      = {2017},
  publisher = {Springer International Publishing},
  address   = {Cham},
  pages     = {707--717},
  isbn      = {978-3-319-60964-5}
}

@article{bashar_endoscopy,
  title   = {Automatic detection of informative frames from wireless capsule endoscopy images},
  journal = {Medical Image Analysis},
  volume  = {14},
  number  = {3},
  pages   = {449-470},
  year    = {2010},
  issn    = {1361-8415},
  author  = {M.K. Bashar and T. Kitasaka and Y. Suenaga and Y. Mekada and K. Mori}
}

@inproceedings{menglong_tiusse,
  author    = {Ye, Menglong and Giannarou, Stamatia and Patel, Nisha and Teare, Julian and Yang, Guang-Zhong},
  editor    = {Mori, Kensaku and Sakuma, Ichiro and Sato, Yoshinobu and Barillot, Christian and Navab, Nassir},
  title     = {Pathological Site Retargeting under Tissue Deformation Using Geometrical Association and Tracking},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013},
  year      = {2013},
  publisher = {Springer Berlin Heidelberg},
  address   = {Berlin, Heidelberg},
  pages     = {67--74},
  isbn      = {978-3-642-40763-5}
}

@article{haji_wce,
  author    = {Omid Maghsoudi and Alireza Talebpour and Hamid Sotanian-Zadeh and Mahdi Alizadeh and Hossein Soleimani},
  title     = {Informative and uninformative regions detection in WCE frames},
  journal   = {Journal of Advanced Computing},
  volume    = {3},
  number    = {1},
  pages     = {12-34},
  year      = {2014},
  publisher = {Columbia International Publishing}
}

@article{atasoy_endoscopic,
  year      = {2012},
  month     = mar,
  publisher = {Institute of Electrical and Electronics Engineers ({IEEE})},
  volume    = {31},
  number    = {3},
  pages     = {637--653},
  author    = {Selen Atasoy and D. Mateus and A. Meining and  Guang-Zhong Yang and N. Navab},
  title     = {Endoscopic Video Manifolds for Targeted Optical Biopsy},
  journal   = {{IEEE} Transactions on Medical Imaging}
}


@incollection{armin_colonscopy,
  year      = {2016},
  publisher = {Springer International Publishing},
  pages     = {153--162},
  author    = {Mohammad Ali Armin and Girija Chetty and Fripp Jurgen and Hans De Visser and Cedric Dumas and Amir Fazlollahi and Florian Grimpen and Olivier Salvado},
  title     = {Uninformative Frame Detection in Colonoscopy Through Motion,  Edge and Color Features},
  booktitle = {Computer-Assisted and Robotic Endoscopy}
}

@inproceedings{moccia_workflow,
  year      = {2016},
  month     = aug,
  publisher = {{IEEE}},
  author    = {Sara Moccia and Veronica Penza and Gabriele Omodeo Vanone and Elena De Momi and Leonardo S. Mattos},
  title     = {Automatic workflow for narrow-band laryngeal video stitching},
  booktitle = {2016 38th Annual International Conference of the {IEEE} Engineering in Medicine and Biology Society ({EMBC})}
}

@article{turkmen_larynge,
  year      = {2015},
  month     = jul,
  publisher = {Elsevier {BV}},
  volume    = {62},
  pages     = {76--85},
  author    = {H. Irem Turkmen and M. Elif Karsligil and Ismail Kocak},
  title     = {Classification of laryngeal disorders based on shape and vascular defects of vocal folds},
  journal   = {Computers in Biology and Medicine}
}


@misc{chatterjee_deep_2018,
  title      = {Deep learning unbalanced training data?{Solve} it like this.},
  shorttitle = {Deep learning unbalanced training data?},
  url        = {https://towardsdatascience.com/deep-learning-unbalanced-training-data-solve-it-like-this-6c528e9efea6},
  abstract   = {One of the biggest problems that we face when we tackle any machine learning problem is the problem of unbalanced training data.The problem…},
  language   = {en},
  urldate    = {2021-07-09},
  journal    = {Medium},
  author     = {Chatterjee, Shubrashankh},
  month      = aug,
  year       = {2018}
}

@inproceedings{sunaryo_preprocessing,
  title  = {Preprocessing on Digital Image using Histogram Equalization : An Experiment Study on MRI Brain Image},
  author = {Musthofa Sunaryo and M. Hariadi},
  year   = {2016}
}

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