Zobrazeno 1 - 10
of 2 313
pro vyhledávání: '"computer‐assisted diagnosis"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Psoriasis, being a chronic, inflammatory, lifelong skin disorder, has become a major threat to the human population. The precise and effective diagnosis of psoriasis continues to be difficult for clinicians due to its varied nature. In north
Externí odkaz:
https://doaj.org/article/78ff601b70d249c498e43077ef2f0c41
Autor:
Liwen Song, Chuanpu Li, Lilian Tan, Menghong Wang, Xiaqing Chen, Qiang Ye, Shisi Li, Rui Zhang, Qinghai Zeng, Zhuoyao Xie, Wei Yang, Yinghua Zhao
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Accurately classifying primary bone tumors is crucial for guiding therapeutic decisions. The National Comprehensive Cancer Network guidelines recommend multimodal images to provide different perspectives for the comprehensive eval
Externí odkaz:
https://doaj.org/article/828cc10697ab4cb2824ecb52b7c2b811
Autor:
Wongthawat Liawrungrueang, Inbo Han, Watcharaporn Cholamjiak, Peem Sarasombath, K. Daniel Riew
Publikováno v:
Neurospine, Vol 21, Iss 3, Pp 833-841 (2024)
Objective To develop and evaluate a technique using convolutional neural networks (CNNs) for the computer-assisted diagnosis of cervical spine fractures from radiographic x-ray images. By leveraging deep learning techniques, the study might potential
Externí odkaz:
https://doaj.org/article/6e5fff2ea43e45b7a0d0038022e8da22
Autor:
Iwona Doroniewicz, Daniel J. Ledwoń, Monika Bugdol, Katarzyna Kieszczyńska, Alicja Affanasowicz, Dominika Latos, Małgorzata Matyja, Andrzej Myśliwiec
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-10 (2024)
Abstract Background Positional preferences, asymmetry of body position and movements potentially indicate abnormal clinical conditions in infants. However, a lack of standardized nomenclature hinders accurate assessment and documentation of these pre
Externí odkaz:
https://doaj.org/article/9779b1081bc947b5af96fbf49ff7aeef
Autor:
Yi Yao, Yu Jia, Miaomiao Wu, Songzhu Wang, Haiqi Song, Xiang Fang, Xiaoyang Liao, Dongze Li, Qian Zhao
Publikováno v:
BMC Primary Care, Vol 25, Iss 1, Pp 1-9 (2024)
Abstract Background Atrial fibrillation (AF) is highly correlated with heart failure, stroke and death. Screening increases AF detection and facilitates the early adoption of comprehensive intervention. Long-term wearable devices have become increasi
Externí odkaz:
https://doaj.org/article/a5b9ced709fe415abeaf551423d9bc1e
Autor:
Wongthawat Liawrungrueang, Sung Tan Cho, Vit Kotheeranurak, Alvin Pun, Khanathip Jitpakdee, Peem Sarasombath
Publikováno v:
Asian Spine Journal, Vol 18, Iss 3, Pp 407-414 (2024)
Study Design An experimental study. Purpose This study aimed to investigate the potential use of artificial neural networks (ANNs) in the detection of odontoid fractures using the Konstanz Information Miner (KNIME) Analytics Platform that provides a
Externí odkaz:
https://doaj.org/article/ce466c07d0b4494a86269d2205459499
Autor:
Giorgia Marullo, Luca Ulrich, Francesca Giada Antonaci, Andrea Audisio, Alessandro Aprato, Alessandro Massè, Enrico Vezzetti
Publikováno v:
Bone Reports, Vol 22, Iss , Pp 101801- (2024)
Femur fractures are a significant worldwide public health concern that affects patients as well as their families because of their high frequency, morbidity, and mortality. When employing computer-aided diagnostic (CAD) technologies, promising result
Externí odkaz:
https://doaj.org/article/b29e715b83f24108849b9e8ed7cb05a5
Autor:
Ruri Ogawa, Ichiro Ogura
Publikováno v:
Journal of Dental Sciences, Vol 19, Iss 2, Pp 937-944 (2024)
Background/purpose: Recently, an artificial intelligence-based computer-assisted diagnosis (AI-CAD) for panoramic radiography was developed to scan the inferior margin of the mandible and automatically evaluate mandibular cortical morphology. The aim
Externí odkaz:
https://doaj.org/article/68a52d19109044b197e84cfbb4963f05
Autor:
Fahdah A Almarshad, Prasanalakshmi Balaji, Liyakathunisa Syed, Eman Aljohani, Santhi Muttipoll Dharmarajlu, Thavavel Vaiyapuri, Nourah Ali AlAseem
Publikováno v:
IEEE Access, Vol 12, Pp 137237-137246 (2024)
Gastrointestinal or gastric cancer (GC) classification is a serious field of medical research and healthcare technology, where innovative machine learning (ML) and deep learning (DL) models are employed to categorize and analyze many kinds of GCs lik
Externí odkaz:
https://doaj.org/article/418b152f1f114f0e81b0dbb0f8eeab5d
Publikováno v:
IEEE Access, Vol 12, Pp 111481-111492 (2024)
Shoulder pain and injuries present significant challenges to researchers and clinicians for diagnosing underlying structural changes due to the complexity of the shoulder joint. Ultrasonography has been used for diagnosing shoulder impairment and can
Externí odkaz:
https://doaj.org/article/d22343d676754eb8b9426f6970bbbaad