Results 101 to 110 of about 987,086 (294)

Easy method to measure angular knee deformities

Archivo Médico de Camagüey, 2019
Background: knee angular deformities are common in patients suffering from osteoarthritis. There are many clinic and radiographic methods to measure knee deformities, each one has its own features.
Tuan Nguyen-Pham, Alejandro Álvarez-López, Yenima de la Caridad García-Lorenzo, Karel Adrián Hernández-Rementería   +3 more
doaj  

Lead‐free transparent nanocomposite for efficient clinical X‐ray shielding

BMEMat, EarlyView.
A lead‐free nanocomposite of LaF3 nanoparticles exhibits a high optical transparency of 86% with a heavy loading of up to 70 wt%, which enables the design of radiation shielding goggles for interventional surgeons in real clinical scenarios. Abstract The increasing use of X‐ray imaging in the medical field has generated a growing need for efficient ...
Xiangzhou Zhang, Yeqi Liu, Xiaojia Wang, Nik Ahmad Nizam Nik Malek, Wan Hairul Anuar Kamaruddin, Liang‐Jin Xu, Yaxing Wang, Zhaolai Chen, Yuhai Zhang   +8 more
wiley   +1 more source

Image Quality Control in Lumbar Spine Radiography Using Enhanced U-Net Neural Networks [PDF]

, 2022
Xiaohong Chen, Qingshan Deng, Qiang Wang, Xinmiao Liu, Lei Chen, Jinjin Liu, Shuangquan Li, Meihao Wang, Guoquan Cao   +8 more
openalex   +1 more source

Expertise‐inspired artificial intelligence pipeline for clinically applicable reconstruction of tooth‐centric radial planes: Development and multicenter validation

BMEMat, EarlyView.
The expertise‐inspired AI pipeline demonstrates significant clinical utility for rapid and precise analysis of dento‐maxillofafcial CBCT and benefits for intelligent oral health management. Abstract Owing to the tooth‐centered nature of most oral diseases, the tooth‐centric radial plane of cone‐beam computed tomography (CBCT) depicts the anatomical and
Zhuohong Gong, Gengbin Cai, Jiayang Zeng, Beichen Wen, Hengyi Liu, Jiahong Lin, Xiaofei Meng, Peisheng Zeng, Jiamin Shi, Rui Xie, Yang Yu, Yin Xiao, Mengru Shi, Ruixuan Wang, Zetao Chen   +14 more
wiley   +1 more source

Fuzzy Divergence for Lung Radiography Image Enhancement

, 2023
Wayne P. Sousa, Carla Cristina Passos Cruz, Regina Serrão Lanzillotti   +2 more
openalex   +2 more sources

Human Breast Cancer Specimens: Diffraction-enhanced Imaging with Histologic Correlation—Improved Conspicuity of Lesion Detail Compared with Digital Radiography

, 2000
Etta D. Pisano, Richard Johnston, D. Chapman, Joseph Geradts, Mary Iacocca, Chad Livasy, David B. Washburn, D. E. Sayers, Z. Zhong, Miklós Kiss, W. Thomlinson   +10 more
openalex   +3 more sources

AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images [PDF]

Current self-supervised methods, such as contrastive learning, predominantly focus on global discrimination, neglecting the critical fine-grained anatomical details required for accurate radiographic analysis. To address this challenge, we propose an Anatomy-driven self-supervised framework for enhancing Fine-grained Representation in radiographic ...
arxiv   +1 more source

On The Application Of Log Compression and Enhanced Denoising In Contrast Enhancement Of Digital Radiography Images

, 2023
M S Asif, Mahesh Raveendranatha Panicker
openalex   +2 more sources

Preliminary study on diffraction enhanced radiographic imaging for a canine model of cartilage damage [PDF]

, 2006
Carol Muehleman, J. Li, Z. Zhong
openalex   +1 more source

Utilizing a Film Holder to Enhance Radiographic Imaging in Maxillary Molar Trifurcation

, 2023
Yunita Savitri, Otty Ratna Wahjuni, Ellyonord Diana Bosawer, Eha Renwi Astuti, Sri Wigati Mardi Mulyani, Deny Saputra, Ramadhan Hardani Putra, Alhidayati Asymal, Aga Satria Nurrachman, Nastiti Faradilla Ramadhani, Dur Muhammad Lashari   +10 more
openalex   +2 more sources