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pro vyhledávání: '"Image interpretation"'
Ultrasound imaging is challenging to interpret due to non-uniform intensities, low contrast, and inherent artifacts, necessitating extensive training for non-specialists. Advanced representation with clear tissue structure separation could greatly as
Externí odkaz:
http://arxiv.org/abs/2408.02043
Current medical artificial intelligence systems are often limited to narrow applications, hindering their widespread adoption in clinical practice. To address this limitation, we propose MedVersa, a generalist learner that enables flexible learning a
Externí odkaz:
http://arxiv.org/abs/2405.07988
Due to spatial redundancy in remote sensing images, sparse tokens containing rich information are usually involved in self-attention (SA) to reduce the overall token numbers within the calculation, avoiding the high computational cost issue in Vision
Externí odkaz:
http://arxiv.org/abs/2405.09789
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing, 2024
Current remote-sensing interpretation models often focus on a single task such as detection, segmentation, or caption. However, the task-specific designed models are unattainable to achieve the comprehensive multi-level interpretation of images. The
Externí odkaz:
http://arxiv.org/abs/2404.04608
Akademický článek
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