Ashutosh Khanna,Pushpdant Jain,C P Paul
Ashutosh Khanna
In lumbar total disc replacement, artificial disc implants are utilized to cure degenerative disc disease and restore natural motion. Human intervertebral discs (IVD) are part of the spine and contribute to delivering six degrees of freedom...
Deep learning-based automatic cranial implant design through direct defect shape prediction and its comparison study [0.03%]
基于深度学习的颅骨缺损形状预测与自动设计及其对比研究
Afaque Rafique Memon,Haochen Shi,Tarique Rafique Memon et al.
Afaque Rafique Memon et al.
Defects to human crania are one kind of head bone damages, and cranial implants can be used to repair the defected crania. The automation of the implant design process is crucial in reducing the corresponding therapy time. Taking the crania...
Attention-guided deep framework for polyp localization and subsequent classification via polyp local and Siamese feature fusion [0.03%]
一种基于注意力引导的深度框架用于息肉定位和分类
Pradipta Sasmal,Susant Kumar Panigrahi,Swarna Laxmi Panda et al.
Pradipta Sasmal et al.
Colorectal cancer (CRC) is one of the leading causes of death worldwide. This paper proposes an automated diagnostic technique to detect, localize, and classify polyps in colonoscopy video frames. The proposed model adopts the deep YOLOv4 m...
Null subtraction imaging combined with modified delay multiply-and-sum beamforming for coherent plane-wave compounding [0.03%]
基于空洞相减的改进型延迟叠加相干平面波合成方法
Yijun Xu,Yaoting Yue,Hao Wang et al.
Yijun Xu et al.
Coherent plane-wave compounding, while efficient for ultrafast ultrasound imaging, yields lower image quality due to unfocused waves. Delay multiply-and-sum (DMAS) beamformer is one of the representative coherence-based methods which can im...
3D ultrasound shape completion and anatomical feature detection for minimally invasive spine surgery [0.03%]
脊柱微创手术的三维超声形状补全与解剖特征检测方法研究
Ruixuan Li,Yuyu Cai,Ayoob Davoodi et al.
Ruixuan Li et al.
Ultrasound (US) with 3D reconstruction is being explored to offer a radiation-free approach to visualizing anatomical structures. Such a method could be useful for navigating and assisting minimally invasive spine surgery where direct sight...
Ultrasound detection of nonalcoholic steatohepatitis using convolutional neural networks with dual-branch global-local feature fusion architecture [0.03%]
基于双分支全局局部特征融合卷积神经网络的非酒精性肝炎超声检测研究
Trina Chattopadhyay,Chun-Hao Lu,Yi-Ping Chao et al.
Trina Chattopadhyay et al.
Nonalcoholic steatohepatitis (NASH) is a contributing factor to liver cancer, with ultrasound B-mode imaging as the first-line diagnostic tool. This study applied deep learning to ultrasound B-scan images for NASH detection and introduced a...
Automated pulmonary nodule classification from low-dose CT images using ERBNet: an ensemble learning approach [0.03%]
基于ERBNet的低剂量CT肺结节影像自动化分类：一种集成学习方法
Yashar Ahmadyar,Alireza Kamali-Asl,Rezvan Samimi et al.
Yashar Ahmadyar et al.
The aim of this study was to develop a deep learning method for analyzing CT images with varying doses and qualities, aiming to categorize lung lesions into nodules and non-nodules. This study utilized the lung nodule analysis 2016 challeng...
Effects of infrapatellar straps on lower limb muscle synergies during running [0.03%]
髌骨带对跑步时下肢肌肉协同运动的影响
Xueying Zhang,Weiyan Ren,Yih-Kuen Jan et al.
Xueying Zhang et al.
Infrapatellar straps are commonly recommended for treating and preventing running-related knee injuries, and their effects have been investigated at the level of individual muscles. However, the use of straps may influence the neuromuscular...
Incorporating frequency domain features into radiomics for improved prognosis of esophageal cancer [0.03%]
频域特征在食管癌预后中的放射组学研究
Shu Chen,Shumin Zhou,Liyang Wu et al.
Shu Chen et al.
Esophageal cancer is a highly aggressive gastrointestinal malignancy with a poor prognosis, making accurate prognostic assessment essential for patient care. The performance of the esophageal cancer prognosis model based on conventional rad...
A machine learning approach for type 2 diabetes diagnosis and prognosis using tailored heterogeneous feature subsets [0.03%]
基于个性化异构特征子集的2型糖尿病诊断和预后机器学习方法
J Ramón Navarro-Cerdán,Pedro Pons-Suñer,Laura Arnal et al.
J Ramón Navarro-Cerdán et al.
Type 2 diabetes (T2D) is becoming one of the leading health problems in Western societies, diminishing quality of life and consuming a significant share of healthcare resources. This study presents machine learning models for T2D diagnosis ...