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Securing healthcare medical image information using advance morphological component analysis, information hiding systems, and hybrid convolutional neural networks on IoMT.
Comput Biol Med
December 2024
Department of Technical Education Uttar Pradesh, India.
Health care images contain a variety of imaging information that has specific features, which can make it challenging to assess and decide on the methods necessitated to safeguard the highly classified visuals from unauthorized exposure during transmission in a communication channel. As a result, this proposed approach utilizes a variety of techniques that will enhance the quality of textual healthcare images, communicate information securely, and interpret textual data from healthcare visuals without difficulty. Natural interference, primarily on the receiver side, reduces text-based healthcare image contrast, and numerous artifacts and adjacent picture element values impede diagnosis.
View Article and Find Full Text PDFInspired by the wavefront masking of the scattering medium, we proposed a multiplexed coded aperture holographic encryption method. The incoherent multiplexed phase mask encryption experiments involved in the method are realized for what we believe to be the first time. From the holograms, we extracted three images using the frequency-selective phase iterative coding algorithm we purposely put forward.
View Article and Find Full Text PDFBehind the mask: Stuttering, anxiety, and communication dynamics in the era of COVID-19.
Int J Lang Commun Disord
November 2024
Speech Therapy Department, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran.
Article Synopsis
- Wearing masks during the pandemic presents unique communication challenges for people with social anxiety, particularly adults who stutter (AWS), as it may help them mask their anxiety symptoms.
- * The study investigates how mandatory mask-wearing affects communication freedom, self-perceived stuttering, and anxiety in AWS, using interviews and thematic analysis to gather insights.
- * Findings reveal that while masks help AWS reduce stress by concealing stuttering cues, many still prefer the freedom of speaking without a mask despite the comfort it provides.
Mapping the global geography of cybercrime with the World Cybercrime Index.
PLoS One
April 2024
Centre d'études européennes et de politique comparée, Sciences Po, Paris, France.
Cybercrime is a major challenge facing the world, with estimated costs ranging from the hundreds of millions to the trillions. Despite the threat it poses, cybercrime is somewhat an invisible phenomenon. In carrying out their virtual attacks, offenders often mask their physical locations by hiding behind online nicknames and technical protections.
View Article and Find Full Text PDFHigh-capacity data hiding for medical images based on the mask-RCNN model.
Sci Rep
March 2024
Department of Computer Science, Faculty of Computers and Information, South Valley University, Qena, Egypt.
This study introduces a novel approach for integrating sensitive patient information within medical images with minimal impact on their diagnostic quality. Utilizing the mask region-based convolutional neural network for identifying regions of minimal medical significance, the method embeds information using discrete cosine transform-based steganography. The focus is on embedding within "insignificant areas", determined by deep learning models, to ensure image quality and confidentiality are maintained.
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