Hardware architectures for real-time medical imaging
Medical imaging is considered one of the most important advances in the history of medicine
and has become an essential part of the diagnosis and treatment of patients. Earlier …
and has become an essential part of the diagnosis and treatment of patients. Earlier …
[HTML][HTML] Parameter selection for CLAHE using multi-objective cuckoo search algorithm for image contrast enhancement
Contrast enhancement techniques that are proposed in the literature are devised to
enhance image quality so as to provide better details for different image processing tasks …
enhance image quality so as to provide better details for different image processing tasks …
[PDF][PDF] K-means Segmentation Based-on Lab Color Space for Embryo Egg Detection
S Saifullah - arXiv Prepr. arXiv2103, 2021 - academia.edu
The hatching process also influences the success of hatching eggs beside the initial egg
factor. So that the results have a large percentage of hatching, it is necessary to check the …
factor. So that the results have a large percentage of hatching, it is necessary to check the …
K-means segmentation based-on lab color space for embryo detection in incubated egg
The quality of the hatching process influences the success of the hatch rate besides the
inherent egg factors. Eliminating infertile or dead eggs and monitoring embryonic growth are …
inherent egg factors. Eliminating infertile or dead eggs and monitoring embryonic growth are …
Grayscale Image Enhancement Using Water Cycle Algorithm
EM Woldamanuel - IEEE Access, 2023 - ieeexplore.ieee.org
Recent developments in engineering and computer sciences have heightened the need for
digital image enhancement. Most of the previously reported works, however, focused on …
digital image enhancement. Most of the previously reported works, however, focused on …
Gaussian quantum arithmetic optimization-based histogram equalization for medical image enhancement
The quality of medical images is critical for accurate diagnosis. This paper introduces a
novel Quantum-behaved Arithmetic Optimization Algorithm (QAOA) for medical images. A …
novel Quantum-behaved Arithmetic Optimization Algorithm (QAOA) for medical images. A …
A nature inspired algorithm for enhancement of fused MRI and CT brain images
L Chandrashekar, A Sreedevi - … and Applications: ERCICA 2020, Volume 1, 2021 - Springer
Glioblastomas are evaluated by neuroimaging techniques like Magnetic Resonance
Imaging (MRI) and Computed Tomography (CT). Each imaging technique represent a …
Imaging (MRI) and Computed Tomography (CT). Each imaging technique represent a …
Colour Image Enhancement Model of Retinal Fundus Image for Diabetic Retinopathy Recognition
Colour Image Enhancement Model of Retinal Fundus Image for Diabetic Retinopathy Recognition
1Nurul Atikah Mohd Sharif, 2Nor Hazl Page 1 293 Journal of ICT, 23, No. 2 (April) 2024, pp:293-334 …
1Nurul Atikah Mohd Sharif, 2Nor Hazl Page 1 293 Journal of ICT, 23, No. 2 (April) 2024, pp:293-334 …
A review: Image enhancement On MRI images
U Singh, MK Choubey - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
In the epoch of digital image processing for the last several years, significant contribution is
being made in the field of medicine. It is the responsibility of digital image processing to give …
being made in the field of medicine. It is the responsibility of digital image processing to give …
Angle Classifier for Registration of MRI and CT Brain Images using Deep Learning
L Chandrashekar, A Sreedevi… - 2020 5th IEEE …, 2020 - ieeexplore.ieee.org
Image registration in field of medical images is highly recommended for detection brain
tumor related diseases. With Deep Learning, features are learnt automatically and it allows …
tumor related diseases. With Deep Learning, features are learnt automatically and it allows …