COMPARATIVE ANALYSIS OF PIXEL-BASED SEGMENTATION MODELS FOR ACCURATE DETECTION OF IMPACTED TEETH ON PANORAMIC RADIOGRAPHS

Comparative Analysis of Pixel-Based Segmentation Models for Accurate Detection of Impacted Teeth on Panoramic Radiographs

Accurate detection of impacted teeth in panoramic radiographs is critical for effective diagnosis and treatment planning in dentistry.Traditional segmentation methods often face challenges in achieving accurate detection due to the anatomical complexity and variability of dental structures.This study aims to address these limitations by performing

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A Nanostring gene expression approach identifies aggressive clinical behavior related genes in dedifferentiated liposarcoma

Abstract Dedifferentiated liposarcoma (DDLPS) is one of the most common subtypes of soft tissue sarcoma with a highly variable clinical behavior.Despite advanced molecular approaches are exploring the genetic panorama of DDLPS progression, to date the driver genes of the aggressive clinical behavior in DDLPS have not been identified yet.Here, we us

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