Results 261 to 270 of about 170,175 (308)

Lightweight SwiM-UNet with multi-dimensional adaptor for efficient on-device medical image segmentation. [PDF]

Sci Rep
Noh Y, Lee S, Jin S, Chang Y, Won DO, Lee M, Noh W.   +6 more
europepmc   +1 more source

A New Encoding Architecture Based on Shift Multilayer Perceptron and Transformer for Medical Image Segmentation. [PDF]

Sensors (Basel)
Zhong H, Yang J, Wu Y, Yi J.
europepmc   +1 more source

DescriptorMedSAM: language-image fusion with multi-aspect text guidance for medical image segmentation. [PDF]

Sci Rep
Zhang W, Luo L, He M, Hai J, Ye J.
europepmc   +1 more source

IAP-TransUNet: integration of the attention mechanism and pyramid pooling for medical image segmentation. [PDF]

Front Neurorobot
Shi Y, Li F, Zhao S, Yu H, Chen X, Liu Q.   +5 more
europepmc   +1 more source

CMT-Unet: leveraging stage-wise hybrid framework for enhanced accuracy and efficiency in medical image segmentation. [PDF]

Sci Rep
Wang R, Liu H, Wang G.
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   +2 more sources

DRINet for Medical Image Segmentation

IEEE Transactions on Medical Imaging, 2018
Convolutional neural networks (CNNs) have revolutionized medical image analysis over the past few years. The U-Net architecture is one of the most well-known CNN architectures for semantic segmentation and has achieved remarkable successes in many different medical image segmentation applications. The U-Net architecture consists of standard convolution
Liang Chen 0018, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert   +5 more
openaire   +3 more sources

Medical image segmentation with MARA

1990 IJCNN International Joint Conference on Neural Networks, 1990
The multilayer adaptive resonance architecture (MARA) is a highly stable and plastic self-organizing neural network which is capable of recognizing, reconstructing, and segmenting the traces of previously learned binary patterns. The recognition and reconstruction properties of the network are invariant with respect to distortion, noise, translation ...
Jagath C. Rajapakse, Raj Acharya
openaire   +1 more source

Novel segmentation algorithm in segmenting medical images

Journal of Systems and Software, 2010
The aim of this paper is to develop an effective fuzzy c-means (FCM) technique for segmentation of Magnetic Resonance Images (MRI) which is seriously affected by intensity inhomogeneities that are created by radio-frequency coils. The weighted bias field information is employed in this work to deal the intensity inhomogeneities during the segmentation ...
S. R. Kannan, A. Sathya, S. Ramathilagam, R. Devi   +3 more
openaire   +1 more source