Liebe Besucherinnen und Besucher,
aufgrund unseres Sommerfestes sind wir am 03. September 2026 bis 14 Uhr erreichbar. Am 04. September 2026 sind wir wieder wie gewohnt für Sie da. Vielen Dank für Ihr Verständnis.
Ihr Team von Sack Fachmedien
Buch, Englisch, Band 13797, 125 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 219 g
Third Challenge, DFUC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Buch, Englisch, Band 13797, 125 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 219 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-26353-8
Verlag: Springer
The DFU challenges aim to motivate the health care domain to share datasets, participate in ground truth annotation, and enable data-innovation in computer algorithm development. In the longer term, it will lead to improved patient care.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.




