Results 51 to 60 of about 682 (137)
Zero watermarking scheme for privacy protection in e-Health care
E-health care is an emerging field where health services and information are delivered and offered over the Internet. So the health information of the patients communicated over the Internet has to protect the privacy of the patients.
Ayesha Shaik, V. Masilamani
doaj +1 more source
Habitat Radiomics Predict HPV Status in Oropharyngeal Cancer
ABSTRACT Objective This study developed a habitat‐based radiomics classifier from CT images to predict HPV status in oropharyngeal cancer (OPC). Methods We analyzed pretreatment CT scans from 192 OPC patients. Tumor habitats were generated using a two‐level unsupervised clustering approach, and radiomics features were calculated from both intratumoral ...
Oya Altinok +4 more
wiley +1 more source
Mining an Anthropocene in Japan: On the making and work of geological imaginaries
Short Abstract This article addresses how the lithic and the drift might be reworked as an Anthropocene material outside of a chronostratigraphy. Revisiting the finding of a floating fern fossil at the Hashima mine, we delve into a complex array of Geological imaginaries, and undertake our own speculative work.
Deborah P. Dixon +2 more
wiley +1 more source
Hyperspectral image (HSI) classification is one of the most active topics in remote sensing. However, it is still a nontrivial task to classify the hyperspectral data accurately, since HSI always suffers from a large number of noise pixels, the ...
Fuding Xie +3 more
doaj +1 more source
Oil spill detection plays an important role in marine environment protection. Quad-polarimetric Synthetic Aperture Radar (SAR) has been proved to have great potential for this task, and different SAR polarimetric features have the advantages to recognize
Jin Zhang +5 more
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LBP Stereo Matching Algorithm Based on LSC Image Segmentation [PDF]
In the traditional global stereo matching methods,pixel-based belief propagation has a large amount of computation and a single pixel point can easily cause errors.Therefore,on the basis of the image segmentation processing methods,a Loopy Belief ...
YANG Yan,XU Daoyun
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Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes
ABSTRACT Recent advances in local models for point processes have highlighted the need for flexible methodologies to account for the spatial heterogeneity of external covariates influencing process intensity. In this work, we introduce tessellated spatial regression, a novel framework that extends segmented regression models to spatial point processes,
Nicoletta D'Angelo
wiley +1 more source
This study proposes a deep learning‐based approach for leaf disease identification using the U‐Net architecture for precise segmentation. By training on a dataset of 7056 annotated leaf images, the model effectively distinguishes between healthy and diseased regions, achieving 99.70% training accuracy and 98.99% validation accuracy in 40 epochs.
Gurpreet Singh +8 more
wiley +1 more source
The biarylitides are fascinating RiPP natural products with small core peptides and diverse peptide crosslinks performed by cytochrome P450 enzymes. Here, we address the discovery and diversity of the biarylitides, methods to analyse these constrained cyclic peptides, the structures of the biarylitide P450 enzymes and address alternate catalytic ...
Leo Padva +6 more
wiley +1 more source
Hyperspectral Superpixel-Wise Glioblastoma Tumor Detection in Histological Samples
The combination of hyperspectral imaging (HSI) and digital pathology may yield more accurate diagnosis. In this work, we propose the use of superpixels in HS images for combining regions of pixels that can be classified according to their spectral ...
Samuel Ortega +6 more
doaj +1 more source

