Results 201 to 210 of about 1,372,549 (269)

Role of artificial intelligence in medical image analysis. [PDF]

Chin Med J (Engl)
Wang L, Zhang S, Xu N, He Q, Zhu Y, Chang Z, Wu Y, Wang H, Qi S, Zhang L, Shi Y, Qu X, Zhou X, Song J.   +13 more
europepmc   +1 more source

Multiscale feature fusion for few-shot medical image learning with fisher information-driven layer selection. [PDF]

Vis Comput Ind Biomed Art
Zhang K, Peng Y, Pang B, Chen X.
europepmc   +1 more source

RETRACTION: NNK From Tobacco Smoking Enhances Pancreatic Cancer Cell Stemness and Chemoresistance by Creating a β2AR‐Akt Feedback Loop That Activates Autophagy

Molecular Oncology, EarlyView.
wiley   +1 more source

Segment anything model guided dual-mask framework for anatomically faithful medical image translation. [PDF]

Sci Rep
Lee H, Jo Y, Hong I, Kim J, Park S.
europepmc   +1 more source

Development and evaluation of a multistage transfer learning framework for robust medical image analysis. [PDF]

Sci Rep
Ayana G, Park SY, Jeong KC, Yoon SD, Choe SW.   +4 more
europepmc   +1 more source

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Segmentation of medical images

Image and Vision Computing, 1993
Abstract Segmentation and labelling remains the weakest step in many medical vision applications. This paper illustrates an approach based on generic modules which are designed to solve typical problems encountered in various applications, and which are controllable through adaptation of their parameters.
Rudi Deklerck, Jan Cornelis 0001, Michel Bister   +2 more
openaire   +3 more sources

Media images and medical images

Social Science & Medicine (1967), 1975
Abstract The study sought to examine the image of women portrayed in drug advertisements and how that image contrasts with the portrayal of men. Special attention was given to advertisements for mood-modifying drugs since women are the majority of users of such drugs. Content analysis was performed on nearly 500 drug advertisements in a sample drawn
Andrea Mant, Dorothy Broom Darroch
openaire   +2 more sources

Wavelets in medical imaging

AIP Conference Proceedings, 2012
The aim of this study is to provide emerging applications of wavelet methods to medical signals and images, such as electrocardiogram, electroencephalogram, functional magnetic resonance imaging, computer tomography, X-ray and mammography. Interpretation of these signals and images are quite important. Nowadays wavelet methods have a significant impact
Siddiqi, A. H., Zahra, Noor E., Sevindir, Huliya A., Aslan, Zafar   +3 more
openaire   +3 more sources

Advances in Medical Imaging

Annals of Internal Medicine, 1990
The field of medical imaging, stimulated by advances in digital and communication technologies, has grown tremendously. New imaging techniques that reveal greater anatomical detail are available in most diagnostic radiology departments. We discuss vascular imaging with ultrasound, high-resolution computed tomography of the thorax, magnetic resonance ...
H K, Huang, D R, Aberle, R, Lufkin, E G, Grant, W N, Hanafee, H, Kangarloo   +5 more
openaire   +2 more sources