International Journal of Imaging Systems and Technology: Vol 33, No 5

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International Journal of Imaging Systems and Technology: Volume 33, Issue 5

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ISSUE INFORMATION

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RESEARCH ARTICLES

CA-UNet: Convolution and attention fusion for lung nodule segmentation

BUS-CAD: A computer-aided diagnosis system for breast tumor classification in ultrasound images using grid-search-optimized machine learning algorithms with extended and Boruta-selected features

ContourGAN: Auto-contouring of organs at risk in abdomen computed tomography images using generative adversarial network

CarpNet: Transformer for mitral valve disease classification in echocardiographic videos

LMSA-Net: A lightweight multi-scale aware network for retinal vessel segmentation

GR-Net: Gated axial attention ResNest network for polyp segmentation

Few-shot learning for dermatological conditions with Lesion Area Aware Swin Transformer

Classification of skin lesions with generative adversarial networks and improved MobileNetV2

Predicting lung cancer treatment response from CT images using deep learning

A deep conventional neural network model for glioma tumor segmentation

QCBO-WSVM: Quantum chaos butterfly optimization-based weighted support vector machine for neuropathic pain detection from EEG signal

Multi-branch sustainable convolutional neural network for disease classification

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Correction to “Multi-Branch Sustainable Convolutional Neural Network for Disease Classification”

A dual channel and spatial attention network for automatic spine segmentation of MRI images

A generalizable approach based on the U-Net model for automatic intraretinal cyst segmentation in SD-OCT images

Advanced imaging system for brain tumor automatic classification from MRI images using HOG and BOF feature extraction approaches

Fusing feature and output space for unsupervised domain adaptation on medical image segmentation

Classifications of benign and malignant mammogram images using Gabor-modified CNN architecture

Breast cancer: A hybrid method for feature selection and classification in digital mammography

Optimized lung cancer detection by amended whale optimizer and rough set theory

Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets

A deep learning approach for multi-stage classification of brain tumor through magnetic resonance images

Cone beam computed tomography enhancement using feature-embedded variational autoencoder with a perceptual loss function

Breast lesion classification using features fusion and selection of ensemble ResNet method

Three level automatic segmentation of optic disc using LAB color space contours and morphological operation

Colour-based segmentation using FCM and K-means clustering for 3D thyroid gland state image classification using deep convolutional neural network structure

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