Acoustic reflector-enabled forward-viewing ultrasound image-guided access [0.03%]
声反射辅助的前向超声图像引导穿刺技术
Yichuan Tang,Ashiqur Rahaman,Araceli B Gonzalez et al.
Yichuan Tang et al.
Purpose: Existing ultrasound (US) image-guided needle access methods applied in various surgical procedures (such as percutaneous nephrolithotomy) face the challenge of keeping the needle tip visible during the insertion ...
Prediction of brain metastasis progression after stereotactic radiosurgery: sensitivity to changing the definition of progression [0.03%]
立体定向放射外科手术后脑转移进展预测：更改进展定义的敏感性分析
Robert Policelli,David DeVries,Joanna Laba et al.
Robert Policelli et al.
Purpose: Machine learning (ML) has been used to predict tumor progression post-stereotactic radiosurgery (SRS) based on pre-treatment MRI for brain metastasis (BM) patients, but there is variability in the definition of w...
Conditioning generative latent optimization for sparse-view computed tomography image reconstruction [0.03%]
用于稀疏视图计算机断层扫描图像重建的生成潜在优化条件化技术
Thomas Braure,Delphine Lazaro,David Hateau et al.
Thomas Braure et al.
Purpose: The issue of delivered doses during computed tomography (CT) scans encouraged sparser sets of X-ray projection, severely degrading reconstructions from conventional methods. Although most deep learning approaches...
Bidirectional teaching between lightweight multi-view networks for intestine segmentation from CT volume [0.03%]
轻量级多视图网络之间的双向教学用于CT肠分割
Qin An,Hirohisa Oda,Yuichiro Hayashi et al.
Qin An et al.
Purpose: We present a semi-supervised method for intestine segmentation to assist clinicians in diagnosing intestinal diseases. Accurate segmentation is essential for planning treatments for conditions such as intestinal ...
Evaluation of state-of-the-art deep learning models in the segmentation of the left and right ventricles in parasternal short-axis echocardiograms [0.03%]
最新深度学习模型在胸骨旁短轴超声心动图中左心室和右心室分割中的评估
Julian R Cuellar,Vu Dinh,Manjula Burri et al.
Julian R Cuellar et al.
Purpose: Previous studies on echocardiogram segmentation are focused on the left ventricle in parasternal long-axis views. Deep-learning models were evaluated on the segmentation of the ventricles in parasternal short-axi...
Investigating the effect of adding comparisons with prior mammograms to standalone digital breast tomosynthesis screening [0.03%]
研究添加与之前的乳房X光片进行比较对独立的数字乳腺断层摄影筛查效果的影响
Pontus Timberg,Gustav Hellgren,Magnus Dustler et al.
Pontus Timberg et al.
Purpose: The purpose is to retrospectively investigate how the addition of prior and concurrent mammograms affects wide-angle digital breast tomosynthesis (DBT) screening false-positive recall rates, malignancy scoring, a...
DCEF-AVNet: multi-scale feature fusion and attention mechanism-guided brain tumor segmentation network [0.03%]
DCEF-AVNet：多尺度特征融合和注意力机制引导的脑肿瘤分割网络
Linlin Wang,Tong Zhang,Chuanyun Wang et al.
Linlin Wang et al.
Purpose: Accurate and efficient automatic segmentation of brain tumors is critical for diagnosis and treatment. However, the diversity in the appearance, location, and shape of brain tumors and their subregions, coupled w...
Semi-supervised semantic segmentation of cell nuclei with diffusion model and collaborative learning [0.03%]
基于扩散模型和协作学习的细胞核半监督语义分割
Zhuchen Shao,Sourya Sengupta,Mark A Anastasio et al.
Zhuchen Shao et al.
Purpose: Automated segmentation and classification of the cell nuclei in microscopic images is crucial for disease diagnosis and tissue microenvironment analysis. Given the difficulties in acquiring large labeled datasets...
Frequency-based texture analysis of non-Gaussian properties of digital breast tomosynthesis images and comparison across two vendors [0.03%]
数字乳房断层合成图像的非高斯特性基于频率的纹理分析及两个厂家之间的比较
Kai Yang,Craig K Abbey,Bruno Barufaldi et al.
Kai Yang et al.
Purpose: We aim to analyze higher-order textural components of digital breast tomosynthesis (DBT) images to quantify differences in the appearance of breast parenchyma produced by different vendors. ...
Breast cancer survivors' perceptual map of breast reconstruction appearance outcomes [0.03%]
乳腺癌幸存者对乳房重建外观结果的感知地图
Haoqi Wang,Xiomara T Gonzalez,Gabriela A Renta-López et al.
Haoqi Wang et al.
Purpose: It is often hard for patients to articulate their expectations about breast reconstruction appearance outcomes to their providers. Our overarching goal is to develop a tool to help patients visually express what ...