外来
发表于 2025-3-26 22:12:11
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162158.jpg
急性
发表于 2025-3-27 03:17:30
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外科医生
发表于 2025-3-27 07:39:22
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去才蔑视
发表于 2025-3-27 11:49:49
Palgrave Studies in Educational Mediahe reliance on manual note-taking is highly inefficient and leads to transcription errors when digitising notes. Speech-to-text applications designed using Automatic Speech Recognition (ASR) can potentially overcome these errors using post-ASR error correction. Pre-trained language models are increa
FACT
发表于 2025-3-27 15:28:10
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吸引力
发表于 2025-3-27 17:48:16
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liaison
发表于 2025-3-28 01:16:12
Anja Ballis,Tobias Heinz,Mira Schienagel the shortage of qualified radiologists, there is an increasing burden on healthcare practitioners, which underscores the need to develop reliable automated methods. Despite the development of novel computational techniques, interpreting medical images remains challenging due to noise and varying ac
为敌
发表于 2025-3-28 04:29:20
https://doi.org/10.1057/9780230509528utilizes pre-trained computer vision models to extract high-level image features, has demonstrated remarkable efficacy in identifying images with similar compositions. However, there is a lack of methods for evaluating the embeddings generated by these models, as conventional loss and performance me
Epithelium
发表于 2025-3-28 08:52:43
https://doi.org/10.1057/9780230509528learning techniques, often used for image classification, to benefit dense downstream prediction tasks such as semantic segmentation. The scheme performs supervised patch-level contrastive learning, selecting the patches based on the ground truth mask, subsequently used for hard-negative and hard-po
腐败
发表于 2025-3-28 11:10:15
Christel Gärtner,Heidemarie Winkelphical region. SAR offers advantages over optical sensors for disaster-related change detection in remote sensing due to its all-weather capability and ability to penetrate clouds and darkness. The performance of change detection methods is affected by several challenges. Deep learning methods, such