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SYNCS: Synthetic Data and Contrastive Self-Supervised Training for Central Sulcus Segmentation
March 25, 2024, 4:45 a.m. | Vladyslav Zalevskyi, Kristoffer Hougaard Madsen
cs.CV updates on arXiv.org arxiv.org
Abstract: Bipolar disorder (BD) and schizophrenia (SZ) are severe mental disorders with profound societal impact. Identifying risk markers early is crucial for understanding disease progression and enabling preventive measures. The Danish High Risk and Resilience Study (VIA) focuses on understanding early disease processes, particularly in children with familial high risk (FHR). Understanding structural brain changes associated with these diseases during early stages is essential for effective interventions. The central sulcus (CS) is a prominent brain landmark …
abstract arxiv cs.cv data disease enabling impact processes resilience risk schizophrenia segmentation study supervised training synthetic synthetic data training type understanding via
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