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Record Nr. |
UNISA996386045203316 |
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Autore |
Stephens Edward <d. 1706.> |
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Titolo |
Reflections upon the occurrences of the last year from 5 Nov. 1688 to 5 Nov. 1689 [[electronic resource] ] : Wherein, the happy progress of the late Revolution, and the unhappy progress of affairs since, are considered; the original of the latter discovered, and the proper means for remedy proposed and recommended |
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Pubbl/distr/stampa |
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London, : [s.n.], Printed in the year, 1689 |
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Descrizione fisica |
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Soggetti |
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Great Britain History Revolution of 1688 |
Great Britain History William and Mary, 1689-1702 |
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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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Note generali |
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Attributed to Edward Stephens (Socrates Christianus). Cf. Halkett & Laing (2nd ed.) |
Reproduction of original in Huntington Library. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNISA996647864403316 |
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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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