International Journal of Imaging Systems and Technology: Vol 33, No 3

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International Journal of Imaging Systems and Technology: Volume 33, Issue 3

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Using ChatGPT and other AI-assisted tools to improve manuscripts readability and language

RESEARCH ARTICLES

DeepChestNet: Artificial intelligence approach for COVID-19 detection on computed tomography images

A joint segmentation and classification framework for COVID-19 infection segmentation and detection from chest CT images

Automated diagnosis of COVID stages using texture-based Gabor features in variational mode decomposition from CT images

Semantic context-aware attention UNET for lung cancer segmentation and classification

Global iterative optimization framework for predicting cognitive function statuses of patients with end-stage renal disease

Image processing and machine learning-based bone fracture detection and classification using X-ray images

An automatic gastric polyp detection technique using deep learning

Multi-level deep learning based lung cancer classifier for classification based on tumour-node-metastasis approach

A novel convolutional neural network-based approach for brain tumor classification using magnetic resonance images

EANet: Multiscale autoencoder based edge attention network for fluid segmentation from SD-OCT images

HPKNN: Hyper-parameter optimized KNN classifier for classification of poikilocytosis

Federated learning-based colorectal cancer classification by convolutional neural networks and general visual representation learning

Performance analysis of various denoising filters on intravascular ultrasound coronary artery images

Multi-planar 3D knee MRI segmentation via UNet inspired architectures

A powerful probabilistic model for noise analysis in medical images

XCapsNet: A deep neural network for automated detection of diabetic retinopathy

Automated knee osteoarthritis severity classification using three-stage preprocessing method and VGG16 architecture

Histopathological carcinoma classification using parallel, cross-concatenated and grouped convolutions deep neural network

Image reconstruction based on a modified bird swarm optimization algorithm for electrical impedance tomography

Total variation-based ultrasound image despeckling using method noise thresholding in non-subsampled contourlet transform

An optimal diagnosis system for melanoma dermoscopy images based on enhanced design of horse herd optimizer

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International Journal of Imaging Systems and Technology: Volume 33, Issue 3

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ISSUE INFORMATION

Issue Information

EDITORIAL

Using ChatGPT and other AI-assisted tools to improve manuscripts readability and language

RESEARCH ARTICLES

DeepChestNet: Artificial intelligence approach for COVID-19 detection on computed tomography images

A joint segmentation and classification framework for COVID-19 infection segmentation and detection from chest CT images

Automated diagnosis of COVID stages using texture-based Gabor features in variational mode decomposition from CT images

Semantic context-aware attention UNET for lung cancer segmentation and classification

Global iterative optimization framework for predicting cognitive function statuses of patients with end-stage renal disease

Image processing and machine learning-based bone fracture detection and classification using X-ray images

An automatic gastric polyp detection technique using deep learning

Multi-level deep learning based lung cancer classifier for classification based on tumour-node-metastasis approach

A novel convolutional neural network-based approach for brain tumor classification using magnetic resonance images

EANet: Multiscale autoencoder based edge attention network for fluid segmentation from SD-OCT images

HPKNN: Hyper-parameter optimized KNN classifier for classification of poikilocytosis

Federated learning-based colorectal cancer classification by convolutional neural networks and general visual representation learning

Performance analysis of various denoising filters on intravascular ultrasound coronary artery images

Multi-planar 3D knee MRI segmentation via UNet inspired architectures

A powerful probabilistic model for noise analysis in medical images

XCapsNet: A deep neural network for automated detection of diabetic retinopathy

Automated knee osteoarthritis severity classification using three-stage preprocessing method and VGG16 architecture

Histopathological carcinoma classification using parallel, cross-concatenated and grouped convolutions deep neural network

Image reconstruction based on a modified bird swarm optimization algorithm for electrical impedance tomography

Total variation-based ultrasound image despeckling using method noise thresholding in non-subsampled contourlet transform

An optimal diagnosis system for melanoma dermoscopy images based on enhanced design of horse herd optimizer

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