Publications by authors named "K Y Ngiam"

Scoliosis is a lateral deformity of the spine, usually diagnosed in patients with a Cobb angle (CA) greater than 10°. Accurate measurements of the CA are necessary for timely intervention and subsequent effective treatment of scoliosis. However, the existing gold standard to calculate the CA requires individual vertebrae pairs to be manually identified, which is a laborious process.

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The auto-labeling of coronary artery segments plays an important role in the diagnosis of cardiovascular diseases. Due to the high degree of complexity and diversity in coronary artery structures, it is still a very challenging task after many years of exploration and study. In this paper, we propose a hierarchical scheme based on PointNet++ models and new topological structural features for automatic labeling of coronary artery segments.

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Background: In recent years, Artificial Intelligence (AI) has shown transformative potential in advancing breast cancer care globally. This scoping review seeks to provide a comprehensive overview of AI applications in breast cancer care, examining how they could reshape diagnosis, treatment, and management on a worldwide scale and discussing both the benefits and challenges associated with their adoption.

Methods: In accordance with PRISMA-ScR and ensuing guidelines on scoping reviews, PubMed, Web of Science, Cochrane Library, and Embase were systematically searched from inception to end of May 2024.

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Combined ganglioneuroma-schwannoma is an exceedingly rare tumor that has only been described in isolated case reports. We document a 64-year-old man with an incidentally discovered combined ganglioneuroma-schwannoma of the retroperitoneum that was intimately associated with sympathetic ganglia. We highlight the morphological and immunohistochemical findings of this rare tumor, and show evidence of its origin from sympathetic ganglia.

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