“…It provides chronic health management, prescription compliance, remote services, care-for-all under critical and severe cases, etc., which ultimately enable this methodology to support the healthcare and medical care sphere. In addition, a series of tele-wearables heals up the patients and keeps them updating about their health status in a unique way [ 20 , 21 ]. Fig.…”
Section: Capabilities and Features Of Telemedicine When Used In Healthcare Management Systemmentioning
Regular hospital visits can be expensive, particularly in rural areas, due to travel costs. In the era of the Covid-19 Pandemic, where physical interaction becomes risky, people prefer telemedicine. Fortunately, medical visits can be reduced when telemedicine services are used through video conferencing or other virtual technologies. Thus, telemedicine saves both the patient's and the health care provider time and the cost of the treatment. Furthermore, due to its fast and advantageous characteristics, it can streamline the workflow of hospitals and clinics. This disruptive technology would make it easier to monitor discharged patients and manage their recovery. As a result, it is sufficient to state that telemedicine can create a win-win situation. This paper aims to explore the significant capabilities, features with treatment workflow, and barriers to the adoption of telemedicine in Healthcare. The paper identifies seventeen significant applications of telemedicine in Healthcare. Telemedicine is described as a medical practitioner to diagnose and treat patients in a remote area. Using health apps for scheduled follow-up visits makes doctors and patients more effective and improves the probability of follow-up, reducing missing appointments and optimising patient outcomes. Patients should have an accurate medical history and show the doctor any prominent rashes, bruises, or other signs that need attention through the excellent quality audio-video system. Further, practitioners need file management and a payment gateway system. Telemedicine technologies allow patients and doctors both to review the treatment process. However, this technology supplements physical consultation and is in no way a substitute for a physical consultation. Today this technology is a safe choice for patients who cannot go to the doctor or sit at home, especially during a pandemic.
“…It provides chronic health management, prescription compliance, remote services, care-for-all under critical and severe cases, etc., which ultimately enable this methodology to support the healthcare and medical care sphere. In addition, a series of tele-wearables heals up the patients and keeps them updating about their health status in a unique way [ 20 , 21 ]. Fig.…”
Section: Capabilities and Features Of Telemedicine When Used In Healthcare Management Systemmentioning
Regular hospital visits can be expensive, particularly in rural areas, due to travel costs. In the era of the Covid-19 Pandemic, where physical interaction becomes risky, people prefer telemedicine. Fortunately, medical visits can be reduced when telemedicine services are used through video conferencing or other virtual technologies. Thus, telemedicine saves both the patient's and the health care provider time and the cost of the treatment. Furthermore, due to its fast and advantageous characteristics, it can streamline the workflow of hospitals and clinics. This disruptive technology would make it easier to monitor discharged patients and manage their recovery. As a result, it is sufficient to state that telemedicine can create a win-win situation. This paper aims to explore the significant capabilities, features with treatment workflow, and barriers to the adoption of telemedicine in Healthcare. The paper identifies seventeen significant applications of telemedicine in Healthcare. Telemedicine is described as a medical practitioner to diagnose and treat patients in a remote area. Using health apps for scheduled follow-up visits makes doctors and patients more effective and improves the probability of follow-up, reducing missing appointments and optimising patient outcomes. Patients should have an accurate medical history and show the doctor any prominent rashes, bruises, or other signs that need attention through the excellent quality audio-video system. Further, practitioners need file management and a payment gateway system. Telemedicine technologies allow patients and doctors both to review the treatment process. However, this technology supplements physical consultation and is in no way a substitute for a physical consultation. Today this technology is a safe choice for patients who cannot go to the doctor or sit at home, especially during a pandemic.
“…Several studies have introduced a general survey [17][18][19][20][21][22][23][24][25] for different types of forgery techniques. In the copy-move technique [26][27][28][29][30][31][32][33][34], the copied parts share characteristics such as lighting conditions, background, and dynamic range with the rest of the images. So, forgery detection becomes more difficult.…”
Section: Related Workmentioning
confidence: 99%
“…The key-points-based techniques such as SIFT [26][27][28] and SURF [29,30] are used to reduce the computational complexity. These techniques are not affected by scaling, rotation transformations and are robust to noise.…”
Section: Related Workmentioning
confidence: 99%
“…Copy-move detection is improved in [27] by using local phase quantization to extract the texture information from the image before applying the SIFT. The DyWT decomposes the image, and then SIFT transform is applied on the LL sub-band to extract the feature descriptors [28].…”
This paper is concerned with a vital topic in image processing: color image forgery detection. The development of computing capabilities has led to a breakthrough in hacking and forgery attacks on signal, image, and data communicated over networks. Hence, there is an urgent need for developing efficient image forgery detection algorithms. Two main types of forgery are considered in this paper: splicing and copy-move. Splicing is performed by inserting a part of an image into another image. On the other hand, copy-move forgery is performed by copying a part of the image into another position in the same image. The proposed approach for splicing detection is based on the assumption that illumination between the original and tampered images is different. To detect the difference between the original and tampered images, the homomorphic transform separates the illumination component from the reflectance component. The illumination histogram derivative is used for detecting the difference in illumination, and hence forgery detection is accomplished. Prior to performing the forgery detection process, some pre-processing techniques, including histogram equalization, histogram matching, high-pass filtering, homomorphic enhancement, and single image super-resolution, are introduced to reinforce the details and changes between the original and embedded sections. The proposed approach for copy-move forgery detection is performed with the Speeded Up Robust Features (SURF) algorithm, which extracts feature points and feature vectors. Searching for the copied partition is accomplished through matching with Euclidian distance and hierarchical clustering. In addition, some preprocessing methods are used with the SURF algorithm, such as histogram equalization and single-mage super-resolution. Simulation results proved the feasibility and the robustness of the pre-processing step in homomorphic detection and SURF detection algorithms for splicing and copy-move forgery detection, respectively.
“…Meanwhile, the DNA-based encryption method has caught attention because of its excellent performance on confusion and diffusion [10][11][12]. Piecewise linear chaotic map (PWLCM) is used to generate the key image, and DNA rules is used to encode the key image by E-SM et al [13]. Folifack propose a cryptosystem based on a chaotic Jerk system and DNA encoding proposed in the article for image encryption [14].…”
This paper proposes a novel medical image encryption method based on fast and robust fuzzy C-means clustering image segmentation method and deoxyribonucleic acid encoding. Firstly, the plain medical image is split to interested pixels and uninterested pixels, respectively. Then, the uninterested 0-value pixels are abandoned to reduce the pixels in encryption. Secondly, for the interested pixels, some low-value pixels are also discarded by image segmentation to further reduce the encryption time. Thirdly, a 4-dimensional hyperchaotic system is utilized to process the main pixels of medical image with deoxyribonucleic acid encoding. Finally, lossless encryption and fast encryption are done for different purposes and security analysis shows that the encryption method is robust and secure to resist various attacks.
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