被告 发表于 2025-3-28 17:40:29
In this paper, we present the EndoDepth benchmark, an evaluation framework designed to assess the robustness of monocular depth prediction models in endoscopic scenarios. Unlike traditional datasets, the EndoDepth benchmark incorporates common challenges encountered during endoscopic procedures. We琐事 发表于 2025-3-28 20:15:07
http://reply.papertrans.cn/29/2845/284440/284440_42.pngassent 发表于 2025-3-29 00:41:24
ance the effectiveness of real-time processing in AI systems for ultrasound image analysis, a pre-processing step to detect liver views is essential, as many abdominal ultrasound images do not include the liver. In this paper, we introduce a method for efficient liver view classification in ultrasoueardrum 发表于 2025-3-29 06:04:58
http://reply.papertrans.cn/29/2845/284440/284440_44.png不朽中国 发表于 2025-3-29 10:50:55
Artefakte biologischen Ursprungs,etinal images to predict biomarkers for non-retinal diseases such as cardiovascular disease and chronic kidney disease has shown promise. However, despite the success of utilizing retinal images, significant challenges remain. One major issue is the limited availability of retinal images with linkedpainkillers 发表于 2025-3-29 11:26:25
http://reply.papertrans.cn/29/2845/284440/284440_46.pngFLOAT 发表于 2025-3-29 18:18:18
http://reply.papertrans.cn/29/2845/284440/284440_47.pngdisparage 发表于 2025-3-29 23:48:43
Steuern: Gemeinwohl und Gerechtigkeit,such a problem is the lack of annotated data. Endoscopic annotations necessitate the specialist knowledge of expert endoscopists, and hence the difficulty of organizing arises along with tremendous costs in time and budget. To address this problem, we investigate an active learning paradigm to reduc杠杆支点 发表于 2025-3-30 03:58:06
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