[PDF][PDF] Using deep learning to detect melanoma in dermoscopy images

JAA Salido, C Ruiz - Int. J. Mach. Learn. Comput, 2018 - ijml.org
 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 …

Abdominal synthetic CT reconstruction with intensity projection prior for MRI-only adaptive radiotherapy

S Olberg, J Chun, BS Choi, I Park, H Kim… - Physics in Medicine …, 2021 - iopscience.iop.org
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 …

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 …

Harmonic image inpainting using the charge simulation method

EM Kalmoun, MMS Nasser - Pattern Analysis and Applications, 2022 - Springer
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 …

[PDF][PDF] Hair artifact removal and skin lesion segmentation of dermoscopy images

JA Salido, C Ruiz - Asian Journal of Pharmaceutical and Clinical …, 2018 - researchgate.net
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 …

Using morphological operators and inpainting for hair removal in dermoscopic images

JAA Salido, C Ruiz Jr - … of the computer graphics international conference, 2017 - dl.acm.org
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 …

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 …

Compensated convexity methods for approximations and interpolations of sampled functions in Euclidean Spaces: Applications to contour lines, sparse data and …

K Zhang, E Crooks, A Orlando - arXiv preprint arXiv:1712.05871, 2017 - arxiv.org
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 …

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 …

Human video database for facial feature detection under spectacles with varying alertness levels: a baseline study

S Gupta, M Zefree Lazarus… - … Computation and Systems, 2020 - Wiley Online Library
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 …