衍生 发表于 2025-3-23 09:42:34

https://doi.org/10.1007/978-3-8348-9104-4ed approach segments lesions that occur in neonatal patients with hypoxic ischemic encephalopathy (HIE). The nnU-Net is trained using the skull-stripped apparent diffusion coefficient (ss-ADC) MRI and z-score apparent diffusion coefficient (Z-ADC) maps provided by the BONBID-HIE2023 segmentation cha

规范要多 发表于 2025-3-23 14:14:22

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inferno 发表于 2025-3-23 19:48:58

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Canyon 发表于 2025-3-23 23:38:32

Arbeit mit Zeichenfolgen (Strings),emergency care procedures under resource constrained scenarios. This paper describes the baseline solutions to the four tasks of the Trauma THOMPSON Challenge 2023. They were not provided to the participants ahead of the challenge and was not part of the competition. The Temporal Segmentation Networ

易碎 发表于 2025-3-24 03:51:03

Objekt, Ereignis, Ereignisprozedur,he submission to Action Recognition and Action Anticipation tasks (Track 1) in the Trauma THOMPSON Challenge. In the medical field, accurately identifying and predicting key actions in Life-Saving Interventions (LSI) procedures are crucial for patient survival and recovery. The essence of the Trauma

GRUEL 发表于 2025-3-24 09:49:29

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exhilaration 发表于 2025-3-24 14:25:19

AI for Brain Lesion Detection and Trauma Video Action Recognition978-3-031-71626-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

过于光泽 发表于 2025-3-24 18:21:15

https://doi.org/10.1007/978-3-031-71626-3Brain Injury; Hypoxic Ischemic Encephalopathy; Lesion Segmentation; Brain MRI; Medical Image Segmentatio

山羊 发表于 2025-3-24 20:50:57

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无可争辩 发表于 2025-3-25 02:06:49

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查看完整版本: Titlebook: AI for Brain Lesion Detection and Trauma Video Action Recognition; First BONBID-HIE Les Rina Bao,Ellen Grant,Yangming Ou Conference proceed