Results 31 to 40 of about 286,821 (329)

Computer assisted diagnosis of ovarian cancer in primary care. [PDF]

open access: yes, 2016
Published onlineCommentEditorialEditorials - Moving closer, but still some way ...
Hamilton, W
core   +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

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

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

SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer [PDF]

open access: yesarXiv, 2022
Clinically, the accurate annotation of lesions/tissues can significantly facilitate the disease diagnosis. For example, the segmentation of optic disc/cup (OD/OC) on fundus image would facilitate the glaucoma diagnosis, the segmentation of skin lesions on dermoscopic images is helpful to the melanoma diagnosis, etc.
arxiv  

Neural network-based colonoscopic diagnosis using on-line learning and differential evolution [PDF]

open access: yes, 2004
In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for the on-line back-propagation (BP) is proposed and used to seed an on-line ...
Battiti   +18 more
core   +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

Computer-assisted measurement of radiographical alveolar bone density using intraoral radiographs: Preliminary study on comparison between men and women in young adults

open access: yesJournal of Oral and Maxillofacial Radiology, 2020
Background: As bone mineral is one of the major determinants of bone strength, its exact measurement should be useful for the diagnosis of osteoporosis, as well as for the prediction of fracture risk and monitoring of therapeutically response.
Makoto Oohashi   +5 more
doaj   +1 more source

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

Computer assisted eye fungal infection diagnosis [PDF]

open access: yes, 2003
In this thesis, an attempt has been made to assist the diagnosis of Fungal Keratitis, a fungal infection that occurs in the corneal layers of the eye, by identifying the region of infection in the corneal images using fractal-based features.
Balasubramanian, Madhusudhanan
core   +2 more sources

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