Results 11 to 20 of about 2,936,368 (282)

Medical imaging [PDF]

open access: yesPostgraduate Medical Journal, 1991
Summary and conclusionsThere is now a wide choice of medical imaging to show both focal and diffuse pathologies in various organs. Conventional radiology with plain films, fluoroscopy and contrast medium have many advantages, being readily available with low-cost apparatus and a familiarity that almost leads to contempt. The use of plain films in chest
openaire   +2 more sources

Confidentiality in medical images through a genetic-based steganography algorithm in artificial intelligence

open access: yesFrontiers in Robotics and AI, 2022
Nowadays, image steganography has an important role in hiding information in advanced applications, such as medical image communication, confidential communication and secret data storing, protection of data alteration, access control system for digital ...
Eduardo Vazquez   +8 more
doaj   +1 more source

Stereotactic Body Radiation Therapy With Simultaneous Integrated Boost in Patients With Spinal Metastases

open access: yesTechnology in Cancer Research & Treatment, 2020
Stereotactic body radiation therapy in patients with spine metastases maximizes local tumor control and preserves neurologic function. A novel approach could be the use of stereotactic body radiation therapy with simultaneous integrated boost delivering ...
Antonio Pontoriero MD   +15 more
doaj   +1 more source

Noise-Resistant Image Encryption Scheme for Medical Images in the Chaos and Wavelet Domain

open access: yesIEEE Access, 2021
In this paper, a noise-resistant image encryption scheme is proposed. We have used a cubic-logistic map, Discrete Wavelet Transform (DWT), and bit-plane extraction method to encrypt the medical images at the bit-level rather than pixel-level.
Arslan Shafique   +3 more
doaj   +1 more source

Three-dimensional block matching using orthonormal tree-structured haar transform for multichannel images [PDF]

open access: yes, 2020
Multichannel images, i.e., images of the same object or scene taken in different spectral bands or with different imaging modalities/settings, are common in many applications.
Ito, Izumi, Pizurica, Aleksandra
core   +1 more source

Fast Local Laplacian Filter Based on Modified Laplacian through Bilateral Filter for Coronary Angiography Medical Imaging Enhancement

open access: yesAlgorithms, 2023
Contrast enhancement techniques serve the purpose of diminishing image noise and increasing the contrast of relevant structures. In the context of medical images, where the differentiation between normal and abnormal tissues can be quite subtle, precise ...
Sarwar Shah Khan   +2 more
doaj   +1 more source

Advanced Medical Image Analysis [PDF]

open access: yesComputational and Mathematical Methods in Medicine, 2014
Medical image analysis is performed in order to facilitate medical research and ultimately provide better healthcare. It is critical to the advancement of imaging-based medical research, for example, using magnetic resonance (MR) imaging to probe brain structural and functional changes related to a disease or cognitive process.
Rong Chen, Zhongqiu Wang, Yuanjie Zheng
openaire   +2 more sources

Interobserver variability in organ at risk delineation in head and neck cancer

open access: yesRadiation Oncology, 2021
Background In radiotherapy inaccuracy in organ at risk (OAR) delineation can impact treatment plan optimisation and treatment plan evaluation. Brouwer et al.
J. van der Veen   +4 more
doaj   +1 more source

ROI coding of volumetric medical images with application to visualisation [PDF]

open access: yes, 2003
This paper presents region of interest (ROI) coding of volumetric medical images with the region itself being three dimensional. An extension to 3D-SPIHT which allows 3D ROI coding is proposed.
Agrafiotis, D, Bull, DR, Canagarajah, CN
core   +2 more sources

How Can a Deep Learning Algorithm Improve Fracture Detection on X-rays in the Emergency Room?

open access: yesJournal of Imaging, 2021
The growing need for emergency imaging has greatly increased the number of conventional X-rays, particularly for traumatic injury. Deep learning (DL) algorithms could improve fracture screening by radiologists and emergency room (ER) physicians.
Guillaume Reichert   +7 more
doaj   +1 more source

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