Results 21 to 30 of about 96,443 (299)

Deep learning-based research on the influence of training data size for breast cancer pathology detection

open access: yesThe Journal of Engineering, 2019
In pathological diagnosis of breast cancer, there are problems such as shortage of pathologists, difficulties in sample labeling, and huge workload of manual diagnosis. Therefore, deep learning-based computer-assisted pathology analysis systems have been
Chongyang Cui   +4 more
doaj   +1 more source

Artificial Intelligence-Assisted Diagnosis for Early Intervention Patients

open access: yesApplied Sciences, 2022
The use of artificial intelligence to aid decision making is widely adopted today. Its application is found in different areas, among which the medical one is the most disruptive.
Ignacio Sierra   +3 more
doaj   +1 more source

Artificial intelligence assisted pterygium diagnosis: current status and perspectives [PDF]

open access: yesInternational Journal of Ophthalmology, 2023
Pterygium is a prevalent ocular disease that can cause discomfort and vision impairment. Early and accurate diagnosis is essential for effective management. Recently, artificial intelligence (AI) has shown promising potential in assisting clinicians with
Bang Chen   +9 more
doaj   +1 more source

Computer-aided diagnosis of colorectal polyps: assisted or autonomous? [PDF]

open access: yesClinical Endoscopy
Computer-aided diagnosis (CADx) in colonoscopy aims to improve the accuracy of diagnosing small polyps; however, its integration into clinical practice remains challenging.
Yuichi Mori, Cesare Hassan
doaj   +1 more source

Artificial neural networks for the detection of odontoid fractures using the Konstanz Information Miner Analytics Platform [PDF]

open access: yesAsian Spine Journal
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 ...
Wongthawat Liawrungrueang   +5 more
doaj   +1 more source

Computer-aided polyp characterization in colonoscopy: sufficient performance or not? [PDF]

open access: yesClinical Endoscopy
Computer-assisted polyp characterization (computer-aided diagnosis, CADx) facilitates optical diagnosis during colonoscopy. Several studies have demonstrated high sensitivity and specificity of CADx tools in identifying neoplastic changes in colorectal ...
Natalie Halvorsen, Yuichi Mori
doaj   +1 more source

Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level [PDF]

open access: yesUltrasonography, 2022
Purpose This study evaluated how artificial intelligence-based computer-assisted diagnosis (AI-CAD) for breast ultrasonography (US) influences diagnostic performance and agreement between radiologists with varying experience levels in different workflows.
Si Eun Lee   +8 more
doaj   +1 more source

Challenges of computer-assisted orthognathic surgery in clinical application [PDF]

open access: yes口腔疾病防治
After years of development, the advantages of computer-assisted orthognathic surgery have been widely recognized. However, the clinical application of this technology is challenging.
YAN Jiashu, LI Biao, WANG Xudong
doaj   +3 more sources

Secure Medical Image Transmission Scheme Using Lorenz’s Attractor Applied in Computer Aided Diagnosis for the Detection of Eye Melanoma

open access: yesComputation, 2022
Early detection of diseases is vital for patient recovery. This article explains the design and technical matters of a computer-supported diagnostic system for eye melanoma detection implementing a security approach using chaotic-based encryption to ...
Daniel Fernando Santos   +1 more
doaj   +1 more source

Breast Ultrasound Computer-Aided Diagnosis: Analysis of Types of Errors

open access: yes대한영상의학회지, 2018
Purpose: The aim of this study was to evaluate the diagnostic performance of breast ultrasound (US) computer-aided diagnosis (CAD) to distinguish between benign and malignant lesions and analyze features of lesions interpreted with errors ...
Min Kyung Jeong   +3 more
doaj   +1 more source

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