Multilevel segmentation of medical images in the framework of quantum and classical techniques
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-10235-7
Abstract: Nowadays, the numerical segmentation is an important step in the processing and interpretation of medical images. The segmentation consists in extracting, from the image, one or more objects forming the regions of interest. Image thresholding… read more here.
Keywords: segmentation medical; multilevel segmentation; image; segmentation ... See more keywords
Benchmarking of Deep Architectures for Segmentation of Medical Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3180435
Abstract: In recent years, there were many suggestions regarding modifications of the well-known U-Net architecture in order to improve its performance. The central motivation of this work is to provide a fair comparison of U-Net and… read more here.
Keywords: benchmarking deep; deep architectures; training; architectures segmentation ... See more keywords
3-D Quantum-Inspired Self-Supervised Tensor Network for Volumetric Segmentation of Medical Images.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3240238
Abstract: This article introduces a novel shallow 3-D self-supervised tensor neural network in quantum formalism for volumetric segmentation of medical images with merits of obviating training and supervision. The proposed network is referred to as the… read more here.
Keywords: network; supervised tensor; self supervised; segmentation medical ... See more keywords
Dynamic Loss Weighting for Multiorgan Segmentation in Medical Images.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3243241
Abstract: Deep neural networks often suffer from performance inconsistency for multiorgan segmentation in medical images; some organs are segmented far worse than others. The main reason might be organs with different levels of learning difficulty for… read more here.
Keywords: multiorgan segmentation; loss; dynamic loss; segmentation ... See more keywords
Segmentation of Medical Image Using Novel Dilated Ghost Deep Learning Model
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6872045
Abstract: Image segmentation and computer vision are becoming more important in computer-aided design. A computer algorithm extracts image borders, colours, and textures. It also depletes resources. Technical knowledge is required to extract information about distinctive features.… read more here.
Keywords: image using; medical image; segmentation; segmentation medical ... See more keywords