Image segmentation is the method of partitioning an image into a group of pixels that are
homogenous in some manner. The homogeneity dependents on some attributes like …

Image segmentation is a key stage in image processing because it simplifies the
representation of the image and facilitates subsequent analysis. The multi-level thresholding …

Image segmentation methodology is a part of nearly all computer schemes as a pre-
processing phase to excerpt more meaningful and useful information for analysing the …

There has been an unrestrained growth of videos on the Internet due to proliferation of
multimedia devices. These videos are mostly stored in unstructured repositories which pose …

Artificial intelligence (AI) is one of the most promising approaches to health innovation. The
use of AI in image recognition considerably extends findings beyond the constraints of …

Image segmentation is a fundamental but essential step in image processing because it
dramatically influences posterior image analysis. Multilevel thresholding image …

Classical self-supervised networks suffer from convergence problems and reduced
segmentation accuracy due to forceful termination. Qubits or bilevel quantum bits often …

In the current world pandemic situation, the contagious Novel Coronavirus Disease 2019
(COVID-19) has raised a real threat to human lives owing to infection on lung cells and …

Image segmentation implementation provides simplified and effective feature information of
image. Neural network algorithms have made significant progress in the application of …

The classical self-supervised neural network architectures suffer from slow convergence
problem and incorporation of quantum computing in classical self-supervised networks is a …