DOMAIN ADAPTIVE SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES VIA SELF-TRAINING-BASED DUAL-LEVEL DATA AUGMENTATION

Domain Adaptive Semantic Segmentation of Remote Sensing Images via Self-Training-Based Dual-Level Data Augmentation

Semantic segmentation models experience a significant performance degradation due to domain shifts between the source and target domains.This issue is particularly prevalent in remote sensing imagery, where a semantic segmentation model trained on images from one satellite is tested on images from another.Previous research has often overlooked the

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Multiple-omics analysis of aggrephagy-related cellular patterns and development of an aggrephagy-related signature for hepatocellular carcinoma

Abstract Background Protein aggrephagy, a selected autophagy process response for degrading protein aggregates, plays a critical role in various cancers.However, its regulatory mechanisms and clinical implications in hepatocellular carcinoma (HCC) remain largely unexplored.Methods We integrated bulk RNA-seq data from TCGA and single-cell RNA sequen

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Progression of coronary microvascular dysfunction to heart failure with preserved ejection fraction: a case report

Abstract Background In women with evidence of ischemia and no obstructive coronary artery disease the underlying mechanism is most often Clothing attributed to coronary microvascular dysfunction.Higher rates of adverse cardiovascular events, specifically heart failure with preserved ejection fraction, are present in women with coronary microvascula

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