2022
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Pérez, E; Ventura, S An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis Journal Article Neural Computing and Applications, 34 (13), pp. 10429–10448, 2022. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Evolutionary Algorithms, Genetic Algorithms, Medical Data Mining, Melanoma Diagnosis, Special Issue @article{perez2022ensemble,
title = {An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis},
author = {P'{e}rez, E. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s00521-021-06655-7},
year = {2022},
date = {2022-01-01},
journal = {Neural Computing and Applications},
volume = {34},
number = {13},
pages = {10429--10448},
publisher = {Springer},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Evolutionary Algorithms, Genetic Algorithms, Medical Data Mining, Melanoma Diagnosis, Special Issue},
pubstate = {published},
tppubtype = {article}
}
|
2021
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Pérez, E; Ventura, S Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules Journal Article Cancers, 13 (19), pp. 4974, 2021. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis, Special Issue @article{perez2021melanoma,
title = {Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules},
author = {P'{e}rez, E. and Ventura, S.},
url = {https://www.mdpi.com/2072-6694/13/19/4974},
doi = {10.3390/cancers13194974},
year = {2021},
date = {2021-01-01},
journal = {Cancers},
volume = {13},
number = {19},
pages = {4974},
publisher = {MDPI},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis, Special Issue},
pubstate = {published},
tppubtype = {article}
}
|
2020
|
Pérez, E; Reyes, O; Ventura, S Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study Journal Article Medical image analysis, 67 , pp. 101858, 2020. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis @article{Perez2020,
title = {Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study},
author = {P'{e}rez, E. and Reyes, O. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S136184152030222X},
year = {2020},
date = {2020-01-01},
journal = {Medical image analysis},
volume = {67},
pages = {101858},
publisher = {Elsevier},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {article}
}
|
Reyes, O; Pérez, E; Luque, R; Castaño, J; Ventura, S A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis Journal Article Artificial Intelligence in Medicine, 108 , pp. 101950, 2020. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Medical Data Mining, Melanoma Diagnosis @article{Reyes2020,
title = {A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis},
author = {Reyes, O. and P'{e}rez, E. and Luque, R. and Casta\~{n}o, J. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S0933365719312187},
year = {2020},
date = {2020-01-01},
journal = {Artificial Intelligence in Medicine},
volume = {108},
pages = {101950},
publisher = {Elsevier},
keywords = {Cancer, Data Preprocessing, Data Science, Medical Data Mining, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {article}
}
|
2019
|
Reyes, O; Pérez, E; Ventura, S Performing melanoma diagnosis by an effective convolutional architecture Inproceedings Skin Lesion Analysis Towards Melanoma Detection, ISIC 2019, pp. 4, 2019. BibTeX | Tags: Deep Learning, Melanoma Diagnosis @inproceedings{Reyes2019d,
title = {Performing melanoma diagnosis by an effective convolutional architecture},
author = {Reyes, O. and P'{e}rez, E. and Ventura, S.},
year = {2019},
date = {2019-08-01},
booktitle = {Skin Lesion Analysis Towards Melanoma Detection, ISIC 2019},
pages = {4},
keywords = {Deep Learning, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pérez, E; Reyes, O; Ventura, S Automatic melanoma diagnosis: a review Inproceedings VII Scientific Congress of Researchers of the University of Cordoba, Spain, 2019. BibTeX | Tags: Deep Learning, Melanoma Diagnosis @inproceedings{UCO_Perez2019,
title = {Automatic melanoma diagnosis: a review},
author = {P'{e}rez, E. and Reyes, O. and Ventura, S.},
year = {2019},
date = {2019-02-01},
booktitle = {VII Scientific Congress of Researchers of the University of Cordoba},
address = {Spain},
keywords = {Deep Learning, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {inproceedings}
}
|