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...
JADE-Plus: A Multimodal Agentic Retrieval-Augmented Generation Large Language Framework for Diagnostic Support in Jawbone Lesions: Development and Technical Validation Study [0.03%]
JADE-Plus：用于下颌骨病变诊断支持的多模态代理检索增强生成大型语言框架：开发与技术验证研究
Soroush Baseri Saadi,Jonas Ver Berne,Rocharles Cavalcante Fontenele et al.
Soroush Baseri Saadi et al.
Diagnosing jawbone lesions in oral and maxillofacial radiology remains challenging due to overlapping radiological features and the need for integrated clinical reasoning. This study aimed to develop and validate JADE-Plus, a novel multimod...
Machine Learning-Based Privacy Preserving via CT/MRI and Organ Metadata Prediction [0.03%]
基于机器学习的隐私保护技术研究：通过CT/MRI及器官元数据预测实现医疗影像匿名化
Riwei Jin,Salman Mohamadi,Matthew T Bramlet et al.
Riwei Jin et al.
Medical imaging plays a significant role in diagnosis and treatment planning, with significant efforts focused on training machine learning (ML) algorithms to perform detection and classification automatically. However, concerns regarding p...
AI-Based Segmental Volumetry of the Downstream Aorta in Aortic Dissection: End-to-End Versus Hybrid Strategies [0.03%]
主动脉夹层降主动脉节段容积的基于人工智能的测量：端到端与混合策略
Yu Nakano,Satoshi Nishi,Ikki Kojima et al.
Yu Nakano et al.
Automated segmental volumetry is effective for aortic dissection surveillance but lacks standardization. This study aimed to identify the optimal deep learning workflow by comparing a direct "end-to-end" approach with a "hybrid" strategy in...
BrainGAN Framework for Generating Synthetic Contrast-Enhanced Multisequence MRI in Brain Metastases [0.03%]
一种生成脑转移瘤对比增强多序列MRI的合成数据的BrainGAN框架
Merve Solak,Murat Tören,Berkutay Asan et al.
Merve Solak et al.
Contrast-enhanced MRI (CE-MRI) is routinely used to evaluate brain metastases (BMs); however, concerns regarding gadolinium-based contrast agents have prompted interest in alternative image generation strategies. This study investigated the...