| A multi-process system for HEp-2 cells classification based on SVM D Cascio, V Taormina, M Cipolla, S Bruno, F Fauci, G Raso Pattern Recognition Letters 82, 56-63, 2016 | 33 | 2016 |
| Computer‐assisted classification patterns in autoimmune diagnostics: the AIDA Project A Benammar Elgaaied, D Cascio, S Bruno, MC Ciaccio, M Cipolla, ... BioMed research international 2016 (1), 2073076, 2016 | 31 | 2016 |
| Deep convolutional neural network for HEp-2 fluorescence intensity classification D Cascio, V Taormina, G Raso Applied Sciences 9 (3), 408, 2019 | 26 | 2019 |
| HEp-2 cell classification with heterogeneous classes-processes based on k-nearest neighbours C Donato, T Vincenzo, C Marco, F Francesco, VS Maria, R Giuseppe 2014 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014 | 25 | 2014 |
| Deep CNN for IIF images classification in autoimmune diagnostics D Cascio, V Taormina, G Raso Applied Sciences 9 (8), 1618, 2019 | 23 | 2019 |
| Performance of fine-tuning convolutional neural networks for HEP-2 image classification V Taormina, D Cascio, L Abbene, G Raso Applied Sciences 10 (19), 6940, 2020 | 21 | 2020 |
| An automatic HEp-2 specimen analysis system based on an active contours model and an SVM classification D Cascio, V Taormina, G Raso Applied Sciences 9 (2), 307, 2019 | 17 | 2019 |
| Sedimentation of halloysite nanotubes from different deposits in aqueous media at variable ionic strengths G Cavallaro, G Lazzara, V Taormina, D Cascio Colloids and Surfaces A: Physicochemical and Engineering Aspects 576, 22-28, 2019 | 15 | 2019 |
| Automated approach for indirect immunofluorescence images classification based on unsupervised clustering method L Vivona, D Cascio, V Taormina, G Raso IET Computer Vision 12 (7), 989-995, 2018 | 12 | 2018 |
| Unsupervised clustering method for pattern recognition in IIF images L Vivona, D Cascio, S Bruno, A Fauci, V Taormina, A Benammar, ... IEEE IPAS'16, 2016 | 9 | 2016 |
| A fuzzy-based clinical decision support system for coeliac disease ME Tabacchi, D Tegolo, D Cascio, C Valenti, S Sorce, V Gentile, ... IEEE Access 10, 102223-102236, 2022 | 7 | 2022 |
| Comparative study of human and automated screening for antinuclear antibodies by immunofluorescence on HEp-2 cells Y Gorgi, T Dhaouadi, I Sfar, Y Haouami, TB Abdallah, G Raso, D Cascio, ... International Journal of Statistics in Medical Research 4 (3), 270, 2015 | 5 | 2015 |
| Automated Stabilization, Enhancement and Capillaries Segmentation in Videocapillaroscopy V Taormina, G Raso, V Gentile, L Abbene, A Buttacavoli, G Bonsignore, ... Sensors 23 (18), 7674, 2023 | 4 | 2023 |
| Recognizing the emergent and submerged iceberg of the celiac disease: ITAMA project—Global strategy protocol G Magazzù, S Aquilina, C Barbara, R Bondin, I Brusca, J Bugeja, ... Pediatric Reports 14 (2), 293-311, 2022 | 3 | 2022 |
| Window-Based Energy Selecting X-ray Imaging and Charge Sharing in Cadmium Zinc Telluride Linear Array Detectors for Contaminant Detection A Buttacavoli, F Principato, G Gerardi, D Cascio, G Raso, M Bettelli, ... Sensors 23 (6), 3196, 2023 | 2 | 2023 |
| HEp-2 Intensity Classification based on Deep Fine-tuning. V Taormina, D Cascio, L Abbene, G Raso BIOIMAGING, 143-149, 2020 | 2 | 2020 |
| A REST-based framework to support non-invasive and early coeliac disease diagnosis S Sorce, V Gentile, D Cascio, A Giuliano, ME Tabacchi, V Taormina, ... Proceedings of the 20th International Conference on Computer Systems and …, 2019 | 1 | 2019 |
| A Microcalcification Detection System in Mammograms based on ANN Clustering D Cascio, V Taormina, L Abbene, G Raso 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018 | 1 | 2018 |
| DEVELOPMENT AND IMPLEMENTATION OF MACHINE LEARNING METHODS FOR THE IIF IMAGES ANALYSIS V Taormina Università degli Studi di Palermo, 2021 | | 2021 |
| Analisi di test di Immunofluorescenze indiretta per il supporto alla diagnosi di Malattie Autoimmuni basata su Deep Learning. D Cascio, V Taormina Società Italiana di Fisica, 2019 | | 2019 |
Donato CascioUniversity of Palermo在 unipa.it 的电子邮件经过验证
