Detecting Performance Drift in AI Models for Medical Image Analysis Using CUSUM Chart [0.03%]
基于CUSUM图的医学影像AI模型性能漂移检测方法
Smriti Prathapan,Ravi Samala,Nathan Hadjiyski et al.
Smriti Prathapan et al.
The use of artificial intelligence (AI) models to assist clinical decisions for diagnosis and prediction has been shown to improve patient outcomes and clinical decision-making. However, the performance of an AI model deployed in a clinical...
Tissue-Preserving Artifact Quality Control for Whole-Slide Computational Pathology [0.03%]
组织保存型人工质量控制在全切片计算病理学中的应用
Lin Wei,Yue Lu,Yucheng Shi et al.
Lin Wei et al.
Reliable whole-slide imaging (WSI) analysis depends on diagnostic models, but it also depends on image-quality control that can be assessed before those models are applied. High-sensitivity artifact masks may remove relevant tissue, especia...
Automated Deep Learning Segmentation and Quantification of Epicardial Adipose Tissue from Coronary Computed Tomography Angiography: Validation and Clinical Implications [0.03%]
基于冠状动脉CT造影的 epicardial 脂肪组织自动深度学习分割和定量：验证及临床意义
Sepehr Nayebirad,Shayan Forghani,Soroush Nematollahi et al.
Sepehr Nayebirad et al.
Epicardial adipose tissue (EAT) sits directly on the heart and, in excess, has been linked to coronary artery disease and adverse cardiac events. Measuring its volume on cardiac CT could help with risk assessment, but doing it by hand is sl...
LSMA-PQR: A Comprehensive Dataset of Lumbar Spine Multi-View Annotations with Pfirrmann Grading, Quantitative Measurements, and Structured Radiological Reports [0.03%]
包含Pfirrmann分级、定量测量和结构化放射学报告的腰椎多视图注释综合数据集LSMA-PQR
Rao Farhat Masood,Imtiaz Ahmad Taj
Rao Farhat Masood
Automated analysis of lumbar spine MRI remains constrained by the absence of a comprehensive dataset integrating pixel-level anatomy, quantitative markings, and radiological reports within a unified framework. We present LSMA-PQR, a clinica...
Estimating Metastatic Disease Heterogeneity Using Radiomics-based Lesion Clustering and Heterogeneity Index - Application in Lung Adenocarcinoma Patients and Correlations With Patient Outcomes [0.03%]
基于影像组学的转移病灶聚类及异质性分析及其在肺腺癌患者中临床预后的应用研究
Letuan Phan,Lou Andrea Sitruk,Cécile Masson-Grehaigne et al.
Letuan Phan et al.
Intra-patient inter-lesion heterogeneity contributes to therapeutic resistance and poor prognosis in metastatic lung adenocarcinoma. However, non-invasive approaches to quantify this heterogeneity across multiple lesions remain limited. In ...
Pilot Study on Contrast-Enhanced CT-Based 3D Cascaded Segmentation of Hypopharyngeal Cancer and the Stability of the Extracted Radiomics Features [0.03%]
基于CT增强扫描的下咽癌三维级联分割方法及提取影像组学特征稳定性的研究
Wu Du,Bingyi Wu,Zheng Wang et al.
Wu Du et al.
Hypopharyngeal cancer (HPC), a malignant head and neck tumor with poor prognosis, requires accurate pretreatment segmentation for surgical planning and radiomics analysis. However, no prior research has reported automated segmentation of hy...
A New Infrared Thermography Based Approach to Ankylosing Spondylitis Assessment: A Preliminary Study [0.03%]
一种新的用于评估银屑病关节炎的红外热成像方法初步研究
Zede Wang,Ningning Li,Liming Chen et al.
Zede Wang et al.
The clinical assessment of ankylosing spondylitis (AS) traditionally relies on hospital-based procedures, imposing a significant time and economic burden on patients. To address this challenge, this study proposes a non-contact, home-based ...
A Website-Based Classification of Cervical Spine Conditions Using Convolutional Neural Network [0.03%]
基于网站的颈椎疾病卷积神经网络分类方法
Ee Herng Loh,Kim Gaik Tay,Mohd Norzali Haji Mohd et al.
Ee Herng Loh et al.
Accurate assessment of cervical spine alignment is essential for diagnosing and monitoring cervical spine disorders. However, manual interpretation of cervical spine X-ray images is time-consuming and prone to variability. To address this, ...
DensiThAI: A Multi-View Deep Learning Framework for Breast Density Estimation Using Infrared Images [0.03%]
用于红外图像乳腺密度估计的多视图深度学习框架
Siva Teja Kakileti,Geetha Manjunath
Siva Teja Kakileti
Breast tissue density is an established biomarker of breast cancer risk and an important determinant of mammographic sensitivity. Density assessment is typically performed using X-ray mammography. In this study, we investigate whether breas...
A Multimodal, Multitask Prediction Framework for Diagnosis and Prognosis of Clear Cell Renal Cell Carcinoma [0.03%]
一种用于透明细胞肾细胞癌诊断和预后的多模态、多任务预测框架
ChengYue Wang,XinYing Jiang,ChengShuai Wu et al.
ChengYue Wang et al.
The purpose of this study is to develop and validate a multimodal, multitask prediction framework for clear cell renal cell carcinoma (ccRCC) by integrating preoperative CT radiomics, pathology-derived biomarker data from preoperative biops...