Deep Learning-Assisted Three-Dimensional Segmentation of Vertebrobasilar Artery Calcification in Cone Beam Computed Tomography [0.03%]
基于深度学习的椎基底动脉钙化锥形束CT三维分割
Kardelen Demirezer,Salih Taha Alperen Özçelik,Oğuzhan Altun et al.
Kardelen Demirezer et al.
VBAC assessment is crucial for stroke risk evaluation, but manual segmentation is time-consuming and subject to inter-observer variability. We developed a novel deep learning model specifically optimized for small vascular structure detecti...
Embedding Anisotropy in Medical Image Foundation Models: Post Hoc Whitening Degradation and Spectral-Aware Standardization [0.03%]
医学图像基础模型中的各向异性嵌入：事后白化退化和谱Aware标准化
Clemente García-Hidalgo
Clemente García-Hidalgo
Foundation models produce high-dimensional embedding representations whose geometric properties fundamentally determine downstream task effectiveness. Embedding anisotropy-the concentration of representations in a narrow cone-has been docum...
Opportunistic Promptable Segmentation: Leveraging Routine Radiological Annotations to Guide 3D CT Lesion Segmentation [0.03%]
Opportunctic提示式分割：利用常规放射学注释指导3D CT病变分割
Samuel Church,Joshua D Warner,Danyal Maqbool et al.
Samuel Church et al.
The development of machine learning models for CT imaging depends on the availability of large, high-quality, and diverse annotated datasets. Although large volumes of CT images and reports are readily available in clinical picture archivin...
Pritam Mandal,Swagata Kundu,Aatreya Sengupta et al.
Pritam Mandal et al.
Diabetic retinopathy (DR) is a serious eye condition caused by damage to the retina due to prolonged diabetes. Among the first signs of DR are microaneurysms and hemorrhages, collectively called red lesions. Detecting these lesions is cruci...
Radiologist Detection of Deficiencies in LLM-Generated Patient Communications About Radiology Reports: A Multi-Reader Study [0.03%]
放射科医师检测LLM生成的关于放射学报告的患者沟通中的缺陷的多读者研究
Cheong Shin,Jung Hyun Park,Sungjun Kim et al.
Cheong Shin et al.
Patients increasingly use large language models (LLMs) to interpret radiology reports, yet the reliability of radiologist oversight in detecting errors in patient-facing LLM responses remains unquantified. This study evaluated the diagnosti...
3D OCT-Based Retinal Biomarker Analysis for Automatic Regional-Wise Characterization of Neurodegenerative Diseases [0.03%]
基于3D OCT的视网膜生物标志物分析用于神经退行性疾病的自动区域性表征
Lorena Álvarez-Rodríguez,Carlota Vázquez,Beatriz Cordón et al.
Lorena Álvarez-Rodríguez et al.
Neurodegenerative diseases (NDDs) such as Alzheimer's disease (AD), essential tremor (ET), multiple sclerosis (MS), and Parkinson's disease (PD) are complex disorders that often exhibit overlapping symptoms, leading to diagnostic challenges...
SparseMed3D: Foundation Models for Sparse Instance Medical Segmentation [0.03%]
SparseMed3D：稀疏实例医学分割基础模型
Erfan Darzidehkalani,Cheng-Huang Hsiao,Rina Bao et al.
Erfan Darzidehkalani et al.
Vision foundation models excel at general segmentation but underperform sharply when positive instances occupy a vanishing fraction of the input-a regime that arises across small-lesion and rare-event medical segmentation, with neonatal hyp...
Domain-Specific Transfer Learning for Gastric Cancer Tissue Classification [0.03%]
基于胃癌组织分类的领域适应迁移学习方法研究
Venkata Ramana Kaneti,Santosh Reddy P,Alpha Vijayan et al.
Venkata Ramana Kaneti et al.
Gastric cancer is the fifth most diagnosed cancer worldwide and is the fifth most deadly. An essential part of the diagnosis and prognosis of cancer is the histopathological tissue classification. Pathologists classify tissue samples, but t...
Deep Learning-Based Automated Reports for Breast Density Assessment in Mammography Images [0.03%]
基于深度学习的乳腺密度评估的 mammography 图像自动报告系统
Juliana H do Prado,Jan Hurtado,Luiz F T Santos et al.
Juliana H do Prado et al.
Breast density is a key factor in mammographic screening, as high-density tissue increases cancer risk and can obscure lesions, reducing diagnostic sensitivity. This work presents a deep learning-based framework for automated breast density...
Multiparametric Characterisation of a Recursive Filtration Algorithm on a Commercial Angiographic Equipment [0.03%]
一种递归滤波算法的多参数表征及其在商用血管造影设备上的实现
Raffaele Villa,Nicoletta Paruccini,Elena De Ponti
Raffaele Villa
Digital fluoroscopy offers high temporal resolution but is limited by substantial noise. Recursive filtration improves the signal-to-noise ratio (SNR) by combining information across frames, though potentially at the cost of motion blur and...