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A multimodal deep learning framework for clinical nursing assessment in lumbar fusion surgery via representation learning and feature extraction. [PDF]
Sci RepLi C +5 more
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Enhancing the Generalizability of Deep Learning-Based Models for Lung Field Segmentation in Chest Radiographs Using Edge-Assisted Multiscale Feature Fusion. [PDF]
Int J Biomed ImagingAndrabi T, Bhat SY.
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DLoG - automatic disc based laplacian of gaussian operator for carotid artery boundary extraction in ultrasound images. [PDF]
Sci RepAnitha M, Gupta AK, Pai P, V C R.
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Stereological reconstructions of 3D cellular microstructures by combining adversarial learning and Voronoi tessellations. [PDF]
Sci RepFuchs L, Wilhelm T, Furat O, Schmidt V.
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Improved image representation and sparse representation for image classification
Applied Intelligence, 2020It seems that for multiple available images of the same object, the pixel values at the same image position are almost always different, which is especially obvious for the deformable object. This implies that it will be not easy to correctly classify the deformable object.
Shijun Zheng +3 more
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Nonredundant image representations
Proceedings of International Conference on Image Processing, 2002We consider the problem of sending raw image data over lossy or heterogeneous network connections with as little overhead as possible. If the network connection does not support multiple priority levels and the network drops packets at random, a technique is needed where the data would be divided into parts of equal importance, so that the image could ...
F. M. L. Ng, Jelena Kovacevic
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