Identity Concealment When Uploading Pictures of Patients in a Tele-Medicine System

Tele-medicine systems run the risk of unauthorized access to medical records, and there is greater possibility for the unlawful sharing of sensitive patient information, including children, and possibly showing their private parts. Aside from violating their right to privacy, such practices discourage patients from subjecting themselves to tele-medicine. The authors thus present an automatic identity concealment system for pictures, the way it is designed in the GetBetter tele-medicine system developed under a WHO/TDR grant. Based on open-source face- and eye-detection algorithms, identity concealment is executed by blurring the eye region of a detected face using pixel shuffling. This method is shown to be not only effective in concealing the identity of the patient, but also in preserving the exact distribution of pixel values in the image. This is useful when subsequent image processing techniques are employed, such as when identifying the type of lesions based on images of the skin.

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Identity Concealment When Uploading Pictures of Patients in a Tele-Medicine System

Research Anthology on Telemedicine Efficacy, Adoption, and Impact on Healthcare Delivery ◽

10.4018/978-1-7998-8052-3.ch031 ◽

2021 ◽

pp. 591-611

Author(s):

Judith Jumig Azcarraga ◽

John Zachary Raduban ◽

Ma. Christine Gendrano ◽

Arnulfo P. Azcarraga

Keyword(s):

Image Processing ◽

Open Source ◽

Patient Information ◽

Exact Distribution ◽

Eye Detection ◽

Unauthorized Access ◽

Image Processing Techniques ◽

Detection Algorithms ◽

Identity Concealment ◽

Processing Techniques

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The Drone Using an AI

Volume 5 - 2020, Issue 9 - September - International Journal of Innovative Science and Research Technology ◽

10.38124/ijisrt20sep796 ◽

2020 ◽

Vol 5 (9) ◽

pp. 1055-1057

Author(s):

V. Subapriya ◽

Shidhin Varghese Philip ◽

Noufal K ◽

Gopinath V

Keyword(s):

Image Processing ◽

Real Time ◽

Proper Time ◽

Image Processing Techniques ◽

Detection Algorithms ◽

Illegal Activities ◽

Processing Techniques

The drone which will be built is to help military , for agriculture , rooftop photography , and to keep an eye for illegal activities and to do more other cool activities . In this paper the drone which will be built is mainly used to track and monitor avenue crime and criminal activities which is totally done on proper time photograph technique plane which is managed and proposed via the use of particular methods the first processing will be implemented in real time two image processing techniques and second processing which unit will two take care the rest controll monitor and focused on two operation . Aircraft which is showen spherical place of five . Two kilometer which will mechanically feature that is to be operated and to be managed to operate. Detection algorithms have been implemented . The drone is most really useful accurate variety two title that shape to predefined database

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Three-Dimensional Structure of Rotavirus-Fab Complex

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100179944 ◽

1990 ◽

Vol 48 (1) ◽

pp. 238-239

Author(s):

B.V.V. Prasad ◽

E. Marietta ◽

J.W. Burns ◽

M.K. Estes ◽

W. Chiu

Keyword(s):

Image Processing ◽

Smooth Surface ◽

Three Dimensional ◽

Outer Shell ◽

Dimensional Structure ◽

Structural Studies ◽

Cell Penetration ◽

Electron Cryomicroscopy ◽

Image Processing Techniques ◽

Processing Techniques

Rotaviruses are spherical, double-shelled particles. They have been identified as a major cause of infantile gastroenteritis worldwide. In our earlier studies we determined the three-dimensional structures of double-and single-shelled simian rotavirus embedded in vitreous ice using electron cryomicroscopy and image processing techniques to a resolution of 40Å. A distinctive feature of the rotavirus structure is the presence of 132 large channels spanning across both the shells at all 5- and 6-coordinated positions of a T=13ℓ icosahedral lattice. The outer shell has 60 spikes emanating from its relatively smooth surface. The inner shell, in contrast, exhibits a bristly surface made of 260 morphological units at all local and strict 3-fold axes (Fig.l).The outer shell of rotavirus is made up of two proteins, VP4 and VP7. VP7, a glycoprotein and a neutralization antigen, is the major component. VP4 has been implicated in several important functions such as cell penetration, hemagglutination, neutralization and virulence. From our earlier studies we had proposed that the spikes correspond to VP4 and the rest of the surface is composed of VP7. Our recent structural studies, using the same techniques, with monoclonal antibodies specific to VP4 have established that surface spikes are made up of VP4.

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A Survey on Detection and Classification of Brain Tumor Using Image Processing Techniques

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit2063211 ◽

2020 ◽

pp. 967-973

Author(s):

V. Deepika ◽

T. Rajasenbagam

Keyword(s):

Image Processing ◽

Brain Tumor ◽

Soft Tissues ◽

Tumor Detection ◽

Tumor Classification ◽

Normal Brain ◽

Image Processing Techniques ◽

Normal Brain Function ◽

Processing Techniques ◽

The Brain

A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques.

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