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Foundation model for advancing healthcare: challenges, opportunities and future directions
Foundation model, trained on a diverse range of data and adaptable to a myriad of tasks, is
advancing healthcare. It fosters the development of healthcare artificial intelligence (AI) …
advancing healthcare. It fosters the development of healthcare artificial intelligence (AI) …
Gmai-mmbench: A comprehensive multimodal evaluation benchmark towards general medical ai
Abstract Large Vision-Language Models (LVLMs) are capable of handling diverse data
types such as imaging, text, and physiological signals, and can be applied in various fields …
types such as imaging, text, and physiological signals, and can be applied in various fields …
Abdomenatlas-8k: Annotating 8,000 ct volumes for multi-organ segmentation in three weeks
Annotating medical images, particularly for organ segmentation, is laborious and time-
consuming. For example, annotating an abdominal organ requires an estimated rate of 30 …
consuming. For example, annotating an abdominal organ requires an estimated rate of 30 …
Sa-med2d-20m dataset: Segment anything in 2d medical imaging with 20 million masks
[HTML][HTML] BUU-LSPINE: A thai open lumbar spine dataset for spondylolisthesis detection
P Klinwichit, W Yookwan, S Limchareon… - Applied Sciences, 2023 - mdpi.com
(1) Background: Spondylolisthesis, a common disease among older individuals, involves the
displacement of vertebrae. The condition may gradually manifest with age, allowing for …
displacement of vertebrae. The condition may gradually manifest with age, allowing for …
MLKCA-Unet: Multiscale large-kernel convolution and attention in Unet for spine MRI segmentation
B Wang, J Qin, L Lv, M Cheng, L Li, D **a, S Wang - Optik, 2023 - Elsevier
Medical image segmentation plays a key role in the diagnosis of spinal diseases. Unet has
become a universal structure for image segmentation because of its unique skip connection …
become a universal structure for image segmentation because of its unique skip connection …
[HTML][HTML] X23D—intraoperative 3D lumbar spine shape reconstruction based on sparse multi-view X-ray data
Visual assessment based on intraoperative 2D X-rays remains the predominant aid for
intraoperative decision-making, surgical guidance, and error prevention. However, correctly …
intraoperative decision-making, surgical guidance, and error prevention. However, correctly …