DIFNet: A Dual-Branch Interactive Fusion Network for Femoral Nerve Segmentation in Ultrasound Images [0.03%]
基于双分支交互融合的股神经分割网络DIFNetBar铛铛endphp
Junbo Gao,Yujie He,Wei Sun et al.
Junbo Gao et al.
Accurate femoral nerve (FN) segmentation in ultrasound images is crucial for nerve blocks but remains challenging due to its tortuous structure, large-scale variations, and low-contrast boundaries with the closely adjacent femoral artery. E...
An ROI-Guided Imaging Informatics Framework for Image-Language Differentiation of Tuberculous and Pyogenic Spondylitis on MRI [0.03%]
基于ROI的影像信息框架在MRI上指导图-语言区分椎体结核和化脓性脊柱炎
Xuming Jiang,Yang Liu,Xinyi Li et al.
Xuming Jiang et al.
This study aims to develop and validate an MRI-based image-language collaborative framework for differentiating tuberculous spondylitis (TB) from pyogenic spondylitis (PS) at the patient level. This retrospective two-center study included 3...
Artificial Intelligence in Ischemic Stroke Lesion Segmentation: A Narrative Review of Deep Learning Methods, Clinical Utility, and Future Directions [0.03%]
缺血性卒中病变分割的人工智能方法：深度学习、临床应用及未来方向的故事性综述
Taofeeq Oluwatosin Togunwa,Theophilus Olayiwola,Halleluyah Darasinmi Oludele et al.
Taofeeq Oluwatosin Togunwa et al.
Ischemic stroke management is time-sensitive, and lesion segmentation supports treatment selection, prognostication, and reproducible quantification. Deep learning (DL) aims to accelerate and standardize lesion delineation to augment neuroi...
Neoadjuvant Chemoradiotherapy on Postoperative Complications of Rectal Cancer: A Retrospective Study Integrating MRI Radiomics and Deep Learning [0.03%]
结合MRI影像组学和深度学习的术前同步放化疗对直肠癌术后并发症的影响：回顾性研究
Yuchen Bu,Liuping Zhu,Zhonghua Ning et al.
Yuchen Bu et al.
Neoadjuvant chemoradiotherapy (nCRT) is standard for locally advanced rectal cancer but increases postoperative complication (POC) risks due to tissue fibrosis and immunosuppression. Existing models based on clinical parameters overlook nCR...
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...