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[PDF][PDF] Using deep learning to detect melanoma in dermoscopy images
Abstract—Melanoma is a common type of cancer that affects a significant number of
people. Recently, deep learning techniques have been shown to be highly accurate in …
people. Recently, deep learning techniques have been shown to be highly accurate in …
Abdominal synthetic CT reconstruction with intensity projection prior for MRI-only adaptive radiotherapy
Objective. Owing to the superior soft tissue contrast of MRI, MRI-guided adaptive
radiotherapy (ART) is well-suited to managing interfractional changes in anatomy. An MRI …
radiotherapy (ART) is well-suited to managing interfractional changes in anatomy. An MRI …
Fast image inpainting strategy based on the space-fractional modified Cahn-Hilliard equations
M Zhang, GF Zhang - Computers & Mathematics with Applications, 2021 - Elsevier
The solution strategy of the space-fractional modified Cahn-Hilliard equation as a tool for the
gray value image inpainting model is studied. The existing strategies solve the convexity …
gray value image inpainting model is studied. The existing strategies solve the convexity …
[PDF][PDF] Hair artifact removal and skin lesion segmentation of dermoscopy images
Objective: The objective of this research is to perform automatic hair artifact removal and
skin lesion segmentation on dermoscopy images. Methods: Dermoscopy images are images …
skin lesion segmentation on dermoscopy images. Methods: Dermoscopy images are images …
Using morphological operators and inpainting for hair removal in dermoscopic images
The increasing incidence of melanoma has led to development of computer-aided diagnosis
systems that classify dermoscopic images. A fundamental problem however during the pre …
systems that classify dermoscopic images. A fundamental problem however during the pre …
Harmonic image inpainting using the charge simulation method
It was recently reported that harmonic inpainting or Laplace interpolation when used in the
context of image compression can yield impressive reconstruction results if the encoded …
context of image compression can yield impressive reconstruction results if the encoded …
Compensated convexity methods for approximations and interpolations of sampled functions in Euclidean Spaces: Applications to contour lines, sparse data and …
This paper is concerned with applications of the theory of approximation and interpolation
based on compensated convex transforms developed in [K. Zhang, E. Crooks, A. Orlando …
based on compensated convex transforms developed in [K. Zhang, E. Crooks, A. Orlando …
Digital image inpainting techniques for cultural heritage preservation and restoration
HO Ahmed, T Alfaqheri, AH Sadka - Data Analytics for Cultural Heritage …, 2021 - Springer
Physical artefacts or ancient artworks including manuscripts and photographs at heritage
sites are likely to have significantly damaged or broken-down regions. Therefore, digital …
sites are likely to have significantly damaged or broken-down regions. Therefore, digital …
Inpainting-filtering for metal artifact reduction (IMIF-MAR) in computed tomography
Y Rodríguez-Gallo, R Orozco-Morales… - … Engineering Sciences in …, 2021 - Springer
The reduction of metal artifacts remains a challenge in computed tomography because they
decrease image quality, and consequently might affect the medical diagnosis. The objective …
decrease image quality, and consequently might affect the medical diagnosis. The objective …
Human video database for facial feature detection under spectacles with varying alertness levels: a baseline study
The pressing demand for workload along with social media interaction leads to diminished
alertness during work hours. Researchers attempted to measure alertness level from various …
alertness during work hours. Researchers attempted to measure alertness level from various …