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1. |
Record Nr. |
UNINA990006428040403321 |
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Titolo |
Ariel : quadrimestrale di drammaturgia dell'Istituto di studi pirandelliani e sul teatro italiano contemporaneo |
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Descrizione fisica |
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Disciplina |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Periodico |
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Note generali |
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Biblioteca di Lettere e Filosofia:1987(fasc. n.6); 1988-1992; 1993(fasc. n.22); 1994(fasc. n.26-27); 1995-1998; 1999(fasc. n.40); 2000(fasc. n.43) |
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2. |
Record Nr. |
UNIORUON00230311 |
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Autore |
D'ALESSANDRO, Vittorio |
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Titolo |
Hobbes filosofo dell'educazione / Vittorio D'Alessandro |
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Pubbl/distr/stampa |
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Firenze, : La Nuova Italia, 1968 |
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Descrizione fisica |
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Disciplina |
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Soggetti |
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HOBBES THOMAS PENSIERO PEDAGOGICO |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910983084703321 |
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Autore |
Yap Moi Hoon |
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Titolo |
Diabetic Foot Ulcers Grand Challenge : 4th Challenge, DFUC 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings / / edited by Moi Hoon Yap, Connah Kendrick, Raphael Brüngel |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (190 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 15335 |
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Altri autori (Persone) |
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KendrickConnah |
BrüngelRaphael |
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Disciplina |
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Soggetti |
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Computer vision |
Image processing - Digital techniques |
Signal processing |
Machine learning |
Application software |
Education - Data processing |
Computer Vision |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Signal, Speech and Image Processing |
Machine Learning |
Computer and Information Systems Applications |
Computers and Education |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation -- Dinov2 Mask R-CNN: Self-supervised Instance Segmentation of Diabetic Foot Ulcers -- Diabetic foot ulcer unsupervised segmentation with Vision Transformers attention -- Self-Supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation -- Multi-stage Segmentation of Diabetic Foot Ulcers Using Self-Supervised Learning -- SSL-based Encoder Pre- |
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training for Segmenting a Heterogeneous Chronic Wound Image Database with Few Annotations -- Multi-Scale Attention Network for Diabetic Foot Ulcer Segmentation using Self-Supervised Learning -- A Supervised Segmentation Solution: Diabetic Foot Ulcers Challenge 2024 -- CDe: Focus on the Color Differences in Diabetic Foot Images -- Diabetic Foot Ulcer Grand Challenge 2024: Overview and Baseline Methods. |
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Sommario/riassunto |
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This book constitutes the 4th Challenge on Diabetic Foot Ulcers, DFUC2024, held in conjunction with the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024. The 8 full papers presented in this book together with 2 invited papers were carefully reviewed and selected from 11 submissions. The task of DFUC 2024 was on self-supervised learning in ulcer segmentation, for the purpose of supporting research towards more advanced methods to overcome data deficiency and unlabelled data. |
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