Automated brain tumor segmentation in MRI images using deep learning: overview, challenges and future
M Sharma, N Miglani - Deep learning techniques for biomedical and …, 2020 - Springer
Brain tumor segmentation of MRI images is a crucial task in the medical image processing. It
is very important that a brain tumor can be diagnosed in initial stages which eventually …
is very important that a brain tumor can be diagnosed in initial stages which eventually …
Context‐based prediction filtering of impulse noise images
A new image denoising method for impulse noise in greyscale images using a context‐
based prediction scheme is presented. The algorithm replaces the noisy pixel with the value …
based prediction scheme is presented. The algorithm replaces the noisy pixel with the value …
[PDF][PDF] Prediction-Based modeling and estimation in advanced computing systems
A Gellert - 2023 - webspace.ulbsibiu.ro
This habilitation thesis is a synopsis of the most important research achievements after the
PhD thesis in prediction-based modeling and estimation in topics like computer architecture …
PhD thesis in prediction-based modeling and estimation in topics like computer architecture …
[PDF][PDF] Dual tree complex wavelet with adaptive decision based median filter for medical image restoration
MA Abdou, SH Darwish - IJCSIS, 2017 - academia.edu
Medical Image (MI) restoration is an important issue for either image archiving or computer
aided diagnosis (CAD). MIs may pick up different types of noise from a variety of sources. In …
aided diagnosis (CAD). MIs may pick up different types of noise from a variety of sources. In …
[PDF][PDF] Performance of Non-linear Cascaded Filtering Algorithm for Removal of Impulse Noise in Digital Images
HM ElKamchouchi, AE Khalil… - International Journal of …, 2016 - researchgate.net
The goal of impulse noise removal is to suppress the noise by preserving the integrity of
edges and detail information. This paper will discuss this goal in two steps. In the first one …
edges and detail information. This paper will discuss this goal in two steps. In the first one …
[PDF][PDF] Removal of High Density Impulsive Noise in Image Using Non Linear Filters
HM ElKamchouchi, AE Khalil, SH Darwish - Proceedings of the 7th International … - uksim.info
Images will pick up noise from a variety of sources that include flecks of dust inside the
camera and faulty sensor. One goal in image restoration is to remove the noise from the …
camera and faulty sensor. One goal in image restoration is to remove the noise from the …