Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions [0.03%]
人工 intelligence 在介入放射学中的应用、挑战与未来方向的叙事综述
Francesco Mariotti,Laura Maria Cacioppa,Nicolo&#x; Rossini et al.
Francesco Mariotti et al.
Traditional evaluations of artificial intelligence (AI) systems in the dynamic, operator-dependent, and time-sensitive field of interventional radiology (IR), focusing solely on algorithmic performance, often fail to capture their real-worl...
Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background [0.03%]
冠状动脉异常和解剖变异的影像诊断及临床背景概述——基于横断面影像学的研究
Nicolò Schicchi,Francesco Bianco,Marco Fogante et al.
Nicolò Schicchi et al.
The coronary arteries are a pair of arteries that branch off from the aorta and encircle the heart, providing oxygenated blood to the myocardium. Although coronary artery atherosclerosis remains a main cause of morbidity and mortality world...
YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs [0.03%]
基于全景牙片的联合牙齿分割和根尖周病变检测的统一框架YoLeTooth
Gianmarco Scarano,Simone Agostinelli,Irene Amerini et al.
Gianmarco Scarano et al.
Chronic periapical periodontitis is a persistent inflammatory disease characterized by progressive bone destruction around the tooth apex. Manual radiographic detection of these lesions is subjective and time-consuming, highlighting the nee...
Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences [0.03%]
基于辐射组学的多序列学习用于乳腺MRI病理完全缓解预测（兼论辅助序列缺失情况下的迁移学习）
Xinyuan Xiang,Wenyu Yin,Jiayue Li
Xinyuan Xiang
Pathological complete response (pCR) after neoadjuvant chemotherapy (NACT) provides an endpoint for treatment evaluation in breast cancer. Multi-sequence breast MRI can support pCR prediction, but routine examinations may lack usable T1-wei...
Cutaneous Thermography in Arthropathies: Quantitative Imaging, Machine Learning, and Clinical Translation [0.03%]
关节病的皮肤热成像：定量影像、机器学习和临床转化
Constantin-Adrian Andrei,Serban Dragosloveanu,Alex-Gabriel Grigore et al.
Constantin-Adrian Andrei et al.
Arthropathies are a major global health challenge because of their high prevalence, chronic progression, and significant impact on quality of life and health systems. Therefore, prompt and accurate diagnosis is critical for slowing disease ...
Dongsheng Ruan,Xiaolin Zhang,Zihan Yuan et al.
Dongsheng Ruan et al.
Myocardial scar and edema segmentation from multi-sequence cardiac magnetic resonance (MS-CMR) is important for myocardial infarction assessment, but remains challenging due to heterogeneous modal characteristics, severe class imbalance, an...
Ultrasound Features of Uterine Perivascular Epithelioid Cell Tumor (PEComa): A Systematic Review [0.03%]
子宫血管周围上皮样细胞肿瘤(PEComa)的超声特征系统评价
Laura Grazia Zompì,Giorgio Maria Baldini,Maria Bardi et al.
Laura Grazia Zompì et al.
Uterine perivascular epithelioid cell tumor (PEComa) is a rare mesenchymal neoplasm whose sonographic profile has not been systematically characterized. We describe an index case of malignant uterine PEComa and present a PRISMA 2020-complia...
A Deep Learning Approach for Pixel-Level Material Classification via Hyperspectral Imaging [0.03%]
基于高光谱成像的深度学习像素级材料分类方法
Savvas Sifnaios,George Arvanitakis,Fotios K Konstantinidis et al.
Savvas Sifnaios et al.
Recent advancements in computer vision, particularly in detection, segmentation, and classification, have significantly impacted various domains. However, these advancements are still strongly tied to RGB-based systems, which are insufficie...
A Lightweight and High-Precision PCB Surface Defect Detection Method Based on YOLOv8 [0.03%]
基于YOLOv8的轻量级高精度PCB表面缺陷检测方法
Zhenling Wang,Ya Gao,Ying Xiao et al.
Zhenling Wang et al.
In response to the diverse types and large number of PCB surface defects, our paper proposes an improved YOLOv8-based method for PCB surface defect detection. First, a lightweight modification is performed by introducing RepGhostBottleNeck ...
Towards Automated Spine Fracture Detection on Whole-Body CT of Polytraumatized Patients [0.03%]
面向多发伤患者的全身CT脊柱骨折自动化检测研究
Elena Stojanovski,Alexander Hönning,Frederik Spohn et al.
Elena Stojanovski et al.
Treatment of severely injured patients is challenging, and timely reading of whole-body computed tomography (WBCT) images therefore crucial. Artificial intelligence is increasingly used to prioritize and detect acute injuries in this contex...