Effect of Input Resolution on Retinal Vessel Segmentation Performance: An Empirical Study Across Five Datasets [0.03%]
输入分辨率对视网膜血管分割性能影响的实证研究：五个数据集上的研究
Amarnath R
Amarnath R
Most deep learning pipelines for retinal vessel segmentation resize fundus images to satisfy GPU memory constraints and enable uniform batch processing. However, the impact of this resizing on thin vessel detection remains underexplored. Wh...
Multiparametric PET/CT Tensor Radiomics for Stability-Aware Machine Learning in Lung Cancer Survival Prediction [0.03%]
基于稳定性感知机器学习的多参数PET/CT张量影像组学在肺癌预后预测中的应用
Monica Luo,Sara Harsini,Arman Rahmim et al.
Monica Luo et al.
To address the challenges of model instability and limited generalizability in radiomics-based lung cancer prognosis, we developed a robust multiparametric tensor radiomics framework that integrates multiple PET-CT fusion strategies to iden...
Enhancing Translation of H&E to IHC with Robust Tumor-Infiltrating Lymphocytes Quantification Using Deep Generative Models: A Feasibility Study [0.03%]
基于深度生成模型的H&E染色图像到IHC染色图像翻译及肿瘤浸润淋巴细胞量化：可行性研究
Doa Kim,Jiseon Kang,Hee Jin Lee et al.
Doa Kim et al.
Breast cancer is the leading cause of female oncological mortality, making treatment response prediction a priority. While tumor-infiltrating lymphocytes (TILs) are recognized as prognostic biomarkers, visual quantification on hematoxylin a...
Periapical and Panoramic Radiographs Yield Non-comparable Quantitative Texture Metrics Despite Physical ROI Standardization: A Paired Clinical Study [0.03%]
配对临床研究中发现：尽管物理ROI已经标准化，根尖和全口曲面断层片的定量纹理参数无法互换性评价
Goktug Yersel,Neslihan Tekce
Goktug Yersel
Objective: To determine whether quantitative trabecular texture metrics derived from periapical and panoramic radiographs of the same tooth yield numerically comparable values, and to verify the technical implementation f...
A Noise-Aware Robustness Evaluation Framework for Breast Cancer Classification in Ultrasound Imaging [0.03%]
一种噪声感知的乳腺癌超声图像分类健壮性评估框架
Mariana Arriz-Jorquiera,Ahtesham Bakht,Ismail Uysal et al.
Mariana Arriz-Jorquiera et al.
Accurate detection of breast cancer is essential, as it remains a leading cause of cancer-related mortality worldwide. Ultrasound is adopted due to its accessibility, safety, and capability, complementing mammography and MRI. Yet interpreta...
Deep Generative Translation of Standard Images into Virtual High-Energy Images for Facilitating Dual-Energy Chest Radiography [0.03%]
用于促进双能量胸部放射线成像的标准图像深度生成转换为虚拟高能图像
Yasuyuki Ueda,Riko Shimazaki,Masashi Seki et al.
Yasuyuki Ueda et al.
Dual-energy subtraction (DES) radiography generates bone-suppressed (BS) and bone-enhanced (BE) images, enhancing soft tissue and bone visualization; however, it requires specialized dual-energy imaging systems. A deep generative translatio...
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...