Automatic generation of retinal optical coherence tomography images based on generative adversarial networks.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15988
Abstract: SIGNIFICANCE The automatic generation algorithm of optical coherence tomography (OCT) images based on Generative Adversarial Networks (GAN) can generate a large amount of simulation images by a relatively small number of real images, which can… read more here.
Keywords: automatic generation; optical coherence; based generative; images based ... See more keywords
Classification of medical images based on deep stacked patched auto-encoders
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09056-5
Abstract: The concept of artificial intelligence is not new. Without going into details of the evolution of artificial intelligence, we can confess that recent techniques of deep neural networks have considerably relaunched the trend with a… read more here.
Keywords: classification medical; images based; deep neural; medical images ... See more keywords
Distributed Source Coding of Hyperspectral Images Based on Three-Dimensional Wavelet
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-017-0735-1
Abstract: Abstract To reduce the possibility of poor efficiency and weak anti-error capability while encoding and transmitting hyperspectral images, we present a distributed source coding scheme for hyperspectral images based on three-dimensional (3D) set partitioning in… read more here.
Keywords: three dimensional; images based; based three; source coding ... See more keywords
A new method for automatic counting of ovarian follicles on whole slide histological images based on convolutional neural network
Sign Up to like & getrecommendations! Published in 2019 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2019.103350
Abstract: The ovary is a complex endocrine organ that shows significant structural and functional changes in the female reproductive system over recurrent cycles. There are different types of follicles in the ovarian tissue. The reproductive potential… read more here.
Keywords: images based; method; based convolutional; slide histological ... See more keywords
Landmine detection in hyperspectral images based on pixel intensity
Sign Up to like & getrecommendations! Published in 2021 at "Remote Sensing Applications: Society and Environment"
DOI: 10.1016/j.rsase.2021.100468
Abstract: Abstract Hyperspectral imaging is a technique used to collect the same scene with different wavelengths, achieving both high spectral and spatial resolution. Hyperspectral imaging plays an important role in several scenarios involving target detection, among… read more here.
Keywords: based pixel; images based; hyperspectral images; detection hyperspectral ... See more keywords
Automated Calculation of Liquid Crystal Sensing Images Based on Deep Learning.
Sign Up to like & getrecommendations! Published in 2022 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.2c02593
Abstract: Liquid crystal (LC)-based sensors have been extensively applied in the detection of chemical and biological events. However, the calculation of the optical images of the LC-based sensors is usually time-consuming and also might bring some… read more here.
Keywords: liquid crystal; images based; deep learning; based deep ... See more keywords
Superpixel segmentation for hyperspectral images based on false colour composition with colour histogram driving
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1513181
Abstract: Hyperspectral images (HSIs) segmentation has gradually become an important basis for HSIs processing, such as the classification and unmixing. In this paper, we proposed a superpixel segmentation a... read more here.
Keywords: segmentation hyperspectral; images based; colour; segmentation ... See more keywords
Reversible Data Hiding for JPEG Images Based on Multiple Two-Dimensional Histograms
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3101424
Abstract: Reversible data hiding (RDH) for JPEG images has attracted extensive attentions in recent years. However, since DCT is a de-correlation operation, it is difficult for JPEG images to employ the image redundancy for RDH design… read more here.
Keywords: data hiding; reversible data; based multiple; images based ... See more keywords
Reversible Data Hiding for Color Images Based on Adaptive Three-Dimensional Histogram Modification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3153796
Abstract: Reversible data hiding (RDH) is a hot research topic, and many related techniques are proposed, but only a few are devised for color images. Most current RDH schemes, including those for color images, follow a… read more here.
Keywords: color; images based; color images; histogram ... See more keywords
Geometrically invariant watermarking for medical images based on digital holography and three-level DWT-SVD.
Sign Up to like & getrecommendations! Published in 2019 at "Applied optics"
DOI: 10.1364/ao.58.004185
Abstract: Digital imaging and communications in medicine are being applied widely to improve health care for people, and their security attracted our attention when they are transmitted through the Internet. The paper proposes a digital watermarking… read more here.
Keywords: digital holography; images based; based digital; holography three ... See more keywords
Speckle Reduction on Ultrasound Liver Images Based on a Sparse Representation over a Learned Dictionary
Sign Up to like & getrecommendations! Published in 2018 at "Applied Sciences"
DOI: 10.3390/app8060903
Abstract: Ultrasound images are corrupted with multiplicative noise known as speckle, which reduces the effectiveness of image processing and hampers interpretation. This paper proposes a multiplicative speckle suppression technique for ultrasound liver images, based on a… read more here.
Keywords: ultrasound liver; images based; liver images; sparse representation ... See more keywords