Optical Detection of Distal Lung Enzyme Activity in Human Inflammatory Lung Disease [0.03%]
人炎症性肺疾病的远端肺酶活性光学检测法
Alicia Megia-Fernandez,Adam Marshall,Ahsan R Akram et al.
Alicia Megia-Fernandez et al.
Objective and Impact Statement. There is a need to develop platforms delineating inflammatory biology of the distal human lung. We describe a platform technology approach to detect in situ enzyme activity and observe drug inhibition in the ...
Multicontrast Pocket Colposcopy Cervical Cancer Diagnostic Algorithm for Referral Populations [0.03%]
用于转诊人群的多对比度口袋式阴道镜宫颈癌诊断算法
Erica Skerrett,Zichen Miao,Mercy N Asiedu et al.
Erica Skerrett et al.
Objective and Impact Statement. We use deep learning models to classify cervix images-collected with a low-cost, portable Pocket colposcope-with biopsy-confirmed high-grade precancer and cancer. We boost classification performance on a scre...
Development of Moderate Intensity Focused Ultrasound (MIFU) for Ocular Drug Delivery [0.03%]
用于眼药递送的中强度聚焦超声(MIFU)的研发
Alejandra Gonzalez-Calle,Runze Li,Isaac Asante et al.
Alejandra Gonzalez-Calle et al.
The purpose of this study is to develop a method for delivering antiinflammatory agents of high molecular weight (e.g., Avastin) into the posterior segment that does not require injections into the eye (i.e., intravitreal injections; IVT). ...
Learning to Localize Cross-Anatomy Landmarks in X-Ray Images with a Universal Model [0.03%]
学习用一个通用模型在X光图像中定位跨解剖标志点
Heqin Zhu,Qingsong Yao,Li Xiao et al.
Heqin Zhu et al.
Objective and Impact Statement. In this work, we develop a universal anatomical landmark detection model which learns once from multiple datasets corresponding to different anatomical regions. Compared with the conventional model trained on...
Three-Dimensional Shear Wave Elastography Using a 2D Row Column Addressing (RCA) Array [0.03%]
利用二维行列寻址(RCA)阵列的三维剪切波弹性成像技术
Zhijie Dong,Jihun Kim,Chengwu Huang et al.
Zhijie Dong et al.
Objective. To develop a 3D shear wave elastography (SWE) technique using a 2D row column addressing (RCA) array, with either external vibration or acoustic radiation force (ARF) as the shear wave source. Impact Statement. The proposed metho...
Automated Segmentation and Connectivity Analysis for Normal Pressure Hydrocephalus [0.03%]
正常压力性脑积水的自动分割和连通性分析方法研究
Angela Zhang,Amil Khan,Saisidharth Majeti et al.
Angela Zhang et al.
Objective and Impact Statement. We propose an automated method of predicting Normal Pressure Hydrocephalus (NPH) from CT scans. A deep convolutional network segments regions of interest from the scans. These regions are then combined with M...
High-Resolution Multiscale Imaging Enabled by Hybrid Open-Top Light-Sheet Microscopy [0.03%]
混合型开放式照明片层显微技术实现高分辨率多尺度成像
Hong Ye,Guohua Shi
Hong Ye
Jointly Optimized Spatial Histogram UNET Architecture (JOSHUA) for Adipose Tissue Segmentation [0.03%]
联合优化空间直方图UNET架构（JOSHUA）在脂肪组织分割中的应用
Joshua K Peeples,Julie F Jameson,Nisha M Kotta et al.
Joshua K Peeples et al.
Objective. We aim to develop a machine learning algorithm to quantify adipose tissue deposition at surgical sites as a function of biomaterial implantation. Impact Statement. To our knowledge, this study is the first investigation to apply ...
Particle-Mediated Histotripsy for the Targeted Treatment of Intraluminal Biofilms in Catheter-Based Medical Devices [0.03%]
粒子介导的组织消融术在导管相关医疗器械内腔生物膜精准治疗中的应用研究
Christopher Childers,Connor Edsall,Isabelle Mehochko et al.
Christopher Childers et al.
Objective. This paper is an initial work towards developing particle-mediated histotripsy (PMH) as a novel method of treating catheter-based medical device (CBMD) intraluminal biofilms. Impact Statement. CBMDs commonly become infected with ...
Deep Segmentation Feature-Based Radiomics Improves Recurrence Prediction of Hepatocellular Carcinoma [0.03%]
基于深度分割特征的影像组学改善肝细胞癌复发预测能力
Jifei Wang,Dasheng Wu,Meili Sun et al.
Jifei Wang et al.
Objective and Impact Statement. This study developed and validated a deep semantic segmentation feature-based radiomics (DSFR) model based on preoperative contrast-enhanced computed tomography (CECT) combined with clinical information to pr...