Schlagworte:
Publikationen von Tommaso Banzato sortiert nach Zeitschrift und Typ
Frontiers in Veterinary Science
| , , , , , , und , Development of an artificial intelligence-based method for the diagnosis of the severity of myxomatous mitral valve disease from canine chest radiographs (2023), in: Frontiers in Veterinary Science |
Frontiers in Veterinary science
| , , , , , und , An AI-based algorithm for the automatic classification of thoracic radiographs in cats (2021), in: Frontiers in Veterinary science |
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Sci Rep
| , , , , , , und , Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models (2023), in: Sci Rep:Article number: 19518 (2023) |
[DOI] |
Springer Nature Limited
| , , , , und , An AI-based algorithm for the automatic evaluation of image quality in canine thoracic radiographs (2023), in: Springer Nature Limited |
[DOI] |
The veterinary journal
| , , , , und , Development of a Deep Convolutional Neural Network to Predict the Grading of Canine Meningiomas from MR images (2018), in: The veterinary journal, 235(90-92) |
Publikationen vom Typ Inproceedings
2020
| , , , , und , Training a deep neural network for small and highly heterogeneous MRID datasets for cancer grading, in: EMBC Conference, IEEE, 2020 |
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| , , , , und , Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading, in: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC), IEEE, Seiten 1758--1761, 2020 |
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