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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
| 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 |
| Autore | Yap Moi Hoon |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (190 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
KendrickConnah
BrüngelRaphael |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
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 |
| ISBN |
9783031808715
3031808711 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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-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. |
| Record Nr. | UNINA-9910983084703321 |
Yap Moi Hoon
|
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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
| 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 |
| Autore | Yap Moi Hoon |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (190 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
KendrickConnah
BrüngelRaphael |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
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 |
| ISBN |
9783031808715
3031808711 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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-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. |
| Record Nr. | UNISA-996647864403316 |
|
Yap Moi Hoon
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Diabetic Foot Ulcers Grand Challenge : Third Challenge, DFUC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / / Moi Hoon Yap, Connah Kendrick, and Bill Cassidy, editors
| Diabetic Foot Ulcers Grand Challenge : Third Challenge, DFUC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / / Moi Hoon Yap, Connah Kendrick, and Bill Cassidy, editors |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] |
| Descrizione fisica | 1 online resource (130 pages) |
| Disciplina | 616.462 |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico | Diabetes - Complications |
| ISBN | 3-031-26354-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer Classification -- DFUC2022 Challenge Papers -- HarDNet-DFUS: Enhancing Backbone and Decoder of HarDNet-MSEGfor Diabetic Foot Ulcer Image Segmentation -- OCRNet For Diabetic Foot Ulcer Segmentation Combined with Edge Loss 30 -- On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness -- Capture the Devil in the Details via Partition-then-Ensemble on Higher Resolution Images -- Unconditionally Generated and Pseudo-Labeled Synthetic Images for Diabetic Foot Ulcer Segmentation Dataset Extension.-Post Challenge Paper -- Diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-based Refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation -- Organization IX DFU-Ens: End-to-End Diabetic Foot Ulcer Segmentation Framework with Vision Transformer Based Detection -- Summary Paper -- Diabetic Foot Ulcer Grand Challenge 2022 Summary. |
| Record Nr. | UNISA-996511870103316 |
| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Diabetic Foot Ulcers Grand Challenge : Third Challenge, DFUC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / / edited by Moi Hoon Yap, Connah Kendrick, Bill Cassidy
| Diabetic Foot Ulcers Grand Challenge : Third Challenge, DFUC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / / edited by Moi Hoon Yap, Connah Kendrick, Bill Cassidy |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (130 pages) |
| Disciplina | 616.462 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Image processing Machine learning Social sciences - Data processing Education - Data processing Software engineering Computer Vision Image Processing Machine Learning Computer Application in Social and Behavioral Sciences Computers and Education Software Engineering |
| ISBN |
9783031263545
3031263545 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer Classification -- DFUC2022 Challenge Papers -- HarDNet-DFUS: Enhancing Backbone and Decoder of HarDNet-MSEGfor Diabetic Foot Ulcer Image Segmentation -- OCRNet For Diabetic Foot Ulcer Segmentation Combined with Edge Loss 30 -- On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness -- Capture the Devil in the Details via Partition-then-Ensemble on Higher Resolution Images -- Unconditionally Generated and Pseudo-Labeled Synthetic Images for Diabetic Foot Ulcer Segmentation Dataset Extension.-Post Challenge Paper -- Diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-based Refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation -- Organization IX DFU-Ens: End-to-End Diabetic Foot Ulcer Segmentation Framework with Vision Transformer Based Detection -- Summary Paper -- Diabetic Foot Ulcer Grand Challenge 2022 Summary. |
| Record Nr. | UNINA-9910659495503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Diabetic foot ulcers grand challenge : second challenge, DFUC 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, proceedings / / Moi Hoon Yap, Bill Cassidy, Connah Kendrick, editors
| Diabetic foot ulcers grand challenge : second challenge, DFUC 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, proceedings / / Moi Hoon Yap, Bill Cassidy, Connah Kendrick, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (127 pages) |
| Disciplina | 616.462 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Diabetes - Imaging
Diabetes - Complications |
| ISBN | 3-030-94907-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464539603316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Diabetic Foot Ulcers Grand Challenge : Second Challenge, DFUC 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings / / edited by Moi Hoon Yap, Bill Cassidy, Connah Kendrick
| Diabetic Foot Ulcers Grand Challenge : Second Challenge, DFUC 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings / / edited by Moi Hoon Yap, Bill Cassidy, Connah Kendrick |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (127 pages) |
| Disciplina | 616.462 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Machine learning Computer science - Mathematics Mathematical statistics Social sciences - Data processing Computers Computer Imaging, Vision, Pattern Recognition and Graphics Machine Learning Probability and Statistics in Computer Science Computer Application in Social and Behavioral Sciences Computing Milieux |
| ISBN | 3-030-94907-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Development of Diabetic Foot Ulcer Datasets: An Overview -- DFUC2021 Challenge Papers -- Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification -- Boosting EffcientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers -- Bias Adjustable Activation Network for Imbalanced data — Diabetic Foot Ulcer Challenge 2021 -- Effcient Multi-model Vision Transformer based on Feature Fusion for Classification of DFUC2021 Challenge -- Diabetic Foot Ulcer Classification using Well-known Deep Learning Architectures -- Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary -- Post Challenge Paper -- Deep Subspace analysing for Semi-Supervised multi-label classification of Diabetic Foot Ulcer. |
| Record Nr. | UNINA-9910523743903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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