Relaxation-Exchange Magnetic Resonance Imaging (REXI): A Non-Invasive Imaging Method for Evaluating Trans-Barrier Water Exchange in the Choroid Plexus

Non-Invasive Imaging Technique for Evaluating Trans-Barrier Water Exchange in the Choroid Plexus Background Introduction The choroid plexus (CP) is a critical site for cerebrospinal fluid (CSF) production and an essential component of the blood-cerebrospinal fluid barrier (BCSFB). The CP regulates CSF secretion and absorption, maintaining brain hom...

Multimodal Deep Learning Improves Recurrence Risk Prediction in Pediatric Low-Grade Gliomas

Application of Deep Learning in Postoperative Recurrence Prediction for Pediatric Low-Grade Gliomas Background Pediatric Low-Grade Gliomas (PLGGs) are one of the most common types of brain tumors in children, accounting for 30%-50% of all central nervous system tumors in children. Although the prognosis of PLGGs is relatively favorable, the risk of...

Mapping Tumor Habitats in Isocitrate Dehydrogenase-Wild Type Glioblastoma: Integrating MRI, Pathologic, and RNA Data

Pathological Validation of MRI Tumor Habitats in Glioblastoma Background Introduction Glioblastoma (GBM) is a highly malignant brain tumor characterized by significant heterogeneity and invasiveness. Due to its complex tumor microenvironment (TME), traditional imaging methods struggle to accurately distinguish different tumor regions, such as the t...

PICK: Predict and Mask for Semi-Supervised Medical Image Segmentation

Report on the Paper “PICK: Predict and Mask for Semi-Supervised Medical Image Segmentation” Academic Background Accurate segmentation of medical images is crucial in clinical practice, as it provides vital insights into organ/tumor characteristics such as volume, location, and shape. Recent studies have highlighted the significant potential of data...

RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization

RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization

Report on the Paper “RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization” Academic Background Pathological diagnosis is the gold standard for tumor diagnosis, and nucleus instance segmentation is a key step in digital pathology analysis and pathological diagnosis. However, the computational...