Zobrazeno 1 - 10
of 180
pro vyhledávání: '"Xie, Weiyi"'
We propose a straightforward yet highly effective few-shot fine-tuning strategy for adapting the Segment Anything (SAM) to anatomical segmentation tasks in medical images. Our novel approach revolves around reformulating the mask decoder within SAM,
Externí odkaz:
http://arxiv.org/abs/2407.04651
Deep convolutional neural networks are widely used in medical image segmentation but require many labeled images for training. Annotating three-dimensional medical images is a time-consuming and costly process. To overcome this limitation, we propose
Externí odkaz:
http://arxiv.org/abs/2407.04638
Publikováno v:
Sci Rep. 2023 Aug 29;13(1):14147
Accurate identification of emphysema subtypes and severity is crucial for effective management of COPD and the study of disease heterogeneity. Manual analysis of emphysema subtypes and severity is laborious and subjective. To address this challenge,
Externí odkaz:
http://arxiv.org/abs/2309.02576
Publikováno v:
In Children and Youth Services Review November 2024 166
Publikováno v:
In European Journal of Agronomy November 2024 161
Autor:
Xie, Weiyi, Furusawa, Chika, Miyata, Haruna, Ata-Ul-Karim, Syed Tahir, Yamasaki, Yuji, Shiotsu, Fumitaka, Kato, Yoichiro
Publikováno v:
In Field Crops Research 1 October 2024 317
Publikováno v:
In Medical Image Analysis October 2024 97
We present a novel graph-based approach for labeling the anatomical branches of a given airway tree segmentation. The proposed method formulates airway labeling as a branch classification problem in the airway tree graph, where branch features are ex
Externí odkaz:
http://arxiv.org/abs/2201.04532
Publikováno v:
In Biomarkers in Neuropsychiatry December 2024 11
Publikováno v:
In Child Abuse & Neglect August 2024 154