International Journal of Imaging Systems and Technology: Vol 32, No 2

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International Journal of Imaging Systems and Technology: Volume 32, Issue 2

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RESEARCH ARTICLES

A lightweight capsule network architecture for detection of COVID-19 from lung CT scans

Can laboratory parameters be an alternative to CT and RT-PCR in the diagnosis of COVID-19? A machine learning approach

COVID-opt-aiNet: A clinical decision support system for COVID-19 detection

Detection and diagnosis of COVID-19 infection in lungs images using deep learning techniques

Att2ResNet: A deep attention-based approach for melanoma skin cancer classification

Preoperative planning for jugular-foramen tumors: Preparation of a three-dimensional surgical drawing

Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study

mRMR-based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images

Nonlocal convolutional block attention module VNet for gliomas automatic segmentation

Automated assessment for Alzheimer's disease diagnosis from MRI images: Meta-heuristic assisted deep learning model

Malignancy detection on mammograms by integrating modified convolutional neural network classifier and texture features

Individualized real-time prediction of working memory performance by classifying electroencephalography signals

Multi- and dual-tuned microstripline-based transmit/receive switch for 7-Tesla magnetic resonance imaging

Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder-decoder network

Genetic-based adaptive momentum estimation for predicting mortality risk factors for COVID-19 patients using deep learning

An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal subjects

Edge and anomaly detection of brain magnetic resonance images in a distributed environment

Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X-ray images

Interpretability of deep neural networks used for the diagnosis of Alzheimer's disease

A method for detecting and classifying the tumor regions in brain MRI images using vector index filtering and ANFIS classification process

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International Journal of Imaging Systems and Technology

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International Journal of Imaging Systems and Technology: Volume 32, Issue 2

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ISSUE INFORMATION

Issue Information

RESEARCH ARTICLES

A lightweight capsule network architecture for detection of COVID-19 from lung CT scans

Can laboratory parameters be an alternative to CT and RT-PCR in the diagnosis of COVID-19? A machine learning approach

COVID-opt-aiNet: A clinical decision support system for COVID-19 detection

Detection and diagnosis of COVID-19 infection in lungs images using deep learning techniques

Att2ResNet: A deep attention-based approach for melanoma skin cancer classification

Preoperative planning for jugular-foramen tumors: Preparation of a three-dimensional surgical drawing

Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study

mRMR-based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images

Nonlocal convolutional block attention module VNet for gliomas automatic segmentation

Automated assessment for Alzheimer's disease diagnosis from MRI images: Meta-heuristic assisted deep learning model

Malignancy detection on mammograms by integrating modified convolutional neural network classifier and texture features

Individualized real-time prediction of working memory performance by classifying electroencephalography signals

Multi- and dual-tuned microstripline-based transmit/receive switch for 7-Tesla magnetic resonance imaging

Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder-decoder network

Genetic-based adaptive momentum estimation for predicting mortality risk factors for COVID-19 patients using deep learning

An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal subjects

Edge and anomaly detection of brain magnetic resonance images in a distributed environment

Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X-ray images

Interpretability of deep neural networks used for the diagnosis of Alzheimer's disease

A method for detecting and classifying the tumor regions in brain MRI images using vector index filtering and ANFIS classification process

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