


Остановите войну!
for scientists:


default search action
International Journal of Imaging Systems and Technology, Volume 33
Volume 33, Number 1, January 2023
EDITORIAL
- Mohamed L. Seghier:
Preparing a successful Special Issue proposal. 3-5
RESEARCH ARTICLES
- Lu Ma
, Shuni Song, Liting Guo, Wenjun Tan, Lisheng Xu
:
COVID-19 lung infection segmentation from chest CT images based on CAPA-ResUNet. 6-17 - Harshal A. Sanghvi
, Riki H. Patel
, Ankur Agarwal, Shailesh Gupta, Vivek Sawhney, Abhijit S. Pandya:
A deep learning approach for classification of COVID and pneumonia using DenseNet-201. 18-38 - Harsh Gupta, Naman Bansal, Swati Garg, Hritesh Mallik, Anju Prabha, Jyoti Yadav
:
A hybrid convolutional neural network model to detect COVID-19 and pneumonia using chest X-ray images. 39-52 - Pu Yan, Gang Wang, Jie Chen, Qingwei Tang, Heng Xu:
Skin lesion classification based on the VGG-16 fusion residual structure. 53-68 - Oznur Ozaltin
, Orhan Coskun, Ozgur Yeniay, Abdulhamit Subasi:
Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm. 69-91 - Sumod Sundar, Sumathy Subramanian
:
An effective deep learning model for grading abnormalities in retinal fundus images using variational auto-encoders. 92-107 - Uma Yadav
, Ashish K. Sharma
:
A novel automated depression detection technique using text transcript. 108-122 - Debayan Bhattacharya
, Dennis Eggert, Christian Betz, Alexander Schlaefer:
Squeeze and multi-context attention for polyp segmentation. 123-142 - Tongyuan Huang
, Yao Liu:
Research on the magnetic resonance imaging brain tumor segmentation algorithm based on DO-UNet. 143-157 - Yibeltal Tamyalew, Ayodeji Olalekan Salau
, Aleka Melese Ayalew
:
Detection and classification of large bowel obstruction from X-ray images using machine learning algorithms. 158-174 - Seenia Francis
, Goutham Pooloth
, Sai Bala Subrahmanyam Singam
, Niyas Puzhakkal, Pournami Pulinthanathu Narayanan, Jayaraj Pottekkattuvalappil Balakrishnan
:
SABOS-Net: Self-supervised attention based network for automatic organ segmentation of head and neck CT images. 175-191 - Bohan Yin
, Shengsheng Wang, Shuzhen Lu, Guangyao Wang, Liyan Dong:
Error analysis driven network modification for surgical tools detection in laparoscopic frames. 192-203 - Mili Rosline Mathews
, Sharafudeen Thaha Mohammed Anzar:
A lightweight deep learning model for retinal optical coherence tomography image classification. 204-216 - Tiejun Yang, Xinhao Bai
, Xiaojuan Cui, Yuehong Gong, Lei Li:
DAU-Net: An unsupervised 3D brain MRI registration model with dual-attention mechanism. 217-229 - M. Jeya Sundari
, N. C. Brintha
:
Factorization-based active contour segmentation and pelican optimization-based modified bidirectional long short-term memory for ovarian tumor detection. 230-245 - Rajneesh Kumar Patel
, Manish Kashyap:
Automated screening of glaucoma stages from retinal fundus images using BPS and LBP based GLCM features. 246-261 - Madan Parajuli, Mohamed Shaban
, Thuy L. Phung:
Automated differentiation of skin melanocytes from keratinocytes in high-resolution histopathology images using a weakly-supervised deep-learning framework. 262-275 - Salwan Tajjour
, Sonia Garg, Shyam Singh Chandel
, Diksha Sharma:
A novel hybrid artificial neural network technique for the early skin cancer diagnosis using color space conversions of original images. 276-286 - Bakul Gohel
, Mahish Khare
:
EEG/MEG source imaging in the absence of subject's brain MRI scan: Perspective on co-registration and MRI selection approach. 287-298 - Jun Wu
, Yaxin Zhang
, Zhitao Xiao
, Fang Zhang
, Lei Geng
:
Automated segmentation of diabetic macular edema in OCT B-scan images based on RCU-Net. 299-311 - Wei Guo, Shijie Liu
, Zhaoxuan Gong, Guodong Zhang, Xiran Jiang:
Cascaded networks for the embryo classification on microscopic images using the residual external-attention. 312-322 - Asieh Khosravanian
, Mohammad Rahmanimanesh
, Parviz Keshavarzi, Saeed Mozaffari:
Enhancing level set brain tumor segmentation using fuzzy shape prior information and deep learning. 323-339 - Gurinderjeet Kaur
, Prashant Singh Rana
, Vinay Arora:
Deep learning and machine learning-based early survival predictions of glioblastoma patients using pre-operative three-dimensional brain magnetic resonance imaging modalities. 340-361 - Shan Jin
, Hongming Xu, Yue Dong, Xinyu Hao, Fengying Qin, Qi Xu, Yong Zhu, Fengyu Cong:
Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture. 362-377 - Sinan Altun
, Ahmet Alkan
:
LSS-net: 3-dimensional segmentation of the spinal canal for the diagnosis of lumbar spinal stenosis. 378-388 - Xiaoyan Fan
, Zhanquan Sun, Engang Tian
, Zhong Yin, Gaoyu Cao:
Medical image contrast enhancement based on improved sparrow search algorithm. 389-402 - Haotian Zhang
, Ning Jia
, Keqiang Zhuo, Weidong Zhao:
Retinal fundus image registration framework using Bayesian integration and asymmetric Gaussian mixture model. 403-418 - Diana Baby, Sujitha Juliet
, M. M. Anishin Raj:
An efficient lymphocytic leukemia detection based on EfficientNets and ensemble voting classifier. 419-426 - N. Nithya
, M. S. K. Manikandan:
Resolution improvement using enriched Krylov subspace for microwave tomography breast imaging system. 427-442
Volume 33, Number 2, March 2023
RESEARCH ARTICLES
- Ali Abbasian Ardakani
, Afshin Mohammadi
, Fariborz Faeghi
, U. Rajendra Acharya
:
Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis. 445-464 - Syed Sajid Hussain
, Jainy Sachdeva, Chirag Kamal Ahuja, Abhiav Singh:
Enc-Unet: A novel method for Glioma segmentation. 465-482 - Anjan Gudigar
, U. Raghavendra
, Tejaswi N. Rao, Jyothi Samanth, Venkatesan Rajinikanth
, Suresh Chandra Satapathy, Edward J. Ciaccio, Wai-Yee Chan, U. Rajendra Acharya:
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas. 483-494 - Pallabi Sharma
, Dipankar Das, Anmol Gautam, Bunil Kumar Balabantaray
:
LPNet: A lightweight CNN with discrete wavelet pooling strategies for colon polyps classification. 495-510 - Angamuthu Rajasekaran Kavitha
, Karthikeyan Palaniappan:
Brain tumor segmentation using a deep Shuffled-YOLO network. 511-522 - Jing Wang, Wenjuan Zhang, Rui Zhu:
A multimodal molecular image fusion method based on relative total variation and co-saliency detection. 523-546 - Heewon Yoon
, Yongwon Cho
, Kyung-Sik Ahn
, Hee-Gone Lee
, Chang Ho Kang
, Beom Jin Park
:
Using a convolutional neural network model to derive imaging landmarks for lumbar spine numbering on axial magnetic resonance images. 547-555 - Ellák Somfai
, Benjámin Baffy
, Kristian Fenech
, Rita Hosszú, Dorina Korózs
, Marcell Pólik
, Miklós Sárdy
, András Lorincz
:
Handling dataset dependence with model ensembles for skin lesion classification from dermoscopic and clinical images. 556-571 - Muhammad Attique Khan
, Awais Khan, Majed Alhaisoni, Abdullah Alqahtani, Shtwai Alsubai
, Meshal Alharbi
, Nazir Ahmed Malik, Robertas Damasevicius
:
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm. 572-587 - Nitika Goenka
, Shamik Tiwari
:
Alzheimer's detection using various feature extraction approaches using a multimodal multi-class deep learning model. 588-609 - Latifa Houria
, Noureddine Belkhamsa, Assia Cherfa, Yazid Cherfa:
Multimodal magnetic resonance imaging for Alzheimer's disease diagnosis using hybrid features extraction and ensemble support vector machines. 610-621 - Zhiwei Ye, Zilun Song
, Pengfei Li, Mingwei Wang, Wenguang Hou:
A modified threshold score-based multilevel thresholding segmentation technique for brain magnetic resonance images using opposition-based learning hybrid rice optimization algorithm. 622-643 - K. H. Vijaya Kumari, Soubhagya Sankar Barpanda
:
Residual UNet with Dual Attention - An ensemble residual UNet with dual attention for multi-modal and multi-class brain MRI segmentation. 644-658 - Shobha Jose
, Thomas George Selvaraj, Kenneth Samuel, Jobin T. Philip, Sairamya Nanjappan Jothiraj, Subathra Muthu Swamy Pandian, Vikram Shenoy Handiru, Suviseshamuthu Easter Selvan:
Intramuscular EMG classifier for detecting myopathy and neuropathy. 659-669 - Ming Meng
, Zhichao Dong, Yunyuan Gao, Qingshan She
:
Optimal channel and frequency band-based feature selection for motor imagery electroencephalogram classification. 670-679 - Ramzi Mahmoudi
:
Ventricular segmentation and modeling using topological watershed transformation and harmonic state model. 680-700 - Geetha Sushama
, Gopakumar Chandrasekhara Menon
:
Attention augmented residual autoencoder for efficient polyp segmentation. 701-713 - Rupesh Mahamune
, Shahedul Haque Laskar
:
An automatic channel selection method based on the standard deviation of wavelet coefficients for motor imagery based brain-computer interfacing. 714-728 - P. Vaidehi Nayantara, Surekha Kamath
, Manjunath Kanabagatte Nanjundappa, Rajagopal Kadavigere:
Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K-means clustering. 729-745 - Balakumaresan Ragupathy
, Bharath Subramani
, Selvapandian Arumugam
:
A novel approach for MR brain tumor classification and detection using optimal CNN-SVM model. 746-759 - Muhammet Serdar Bugday, Mehmet Akcicek, Harun Bingol
, Muhammed Yildirim
:
Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradient-weighted class activation mapping based deep hybrid model. 760-769
CORRIGENDUM
- Correction to 'ORYX-MRSI: A fully-automated open-source software for proton magnetic resonance spectroscopic imaging data analysis'. 770
Volume 33, Number 3, May 2023
EDITORIAL
- Mohamed L. Seghier:
Using ChatGPT and other AI-assisted tools to improve manuscripts readability and language. 773-775
RESEARCH ARTICLES
- Mahmut Agrali
, Volkan Kilic
, Aytug Onan, Esra Meltem Koç, Ali Murat Koc, Rasit Eren Büyüktoka, Türker Acar, Zehra Adibelli:
DeepChestNet: Artificial intelligence approach for COVID-19 detection on computed tomography images. 776-788 - S. Jeevitha
, K. Valarmathi:
A joint segmentation and classification framework for COVID-19 infection segmentation and detection from chest CT images. 789-806 - Rajneesh Kumar Patel
, Manish Kashyap:
Automated diagnosis of COVID stages using texture-based Gabor features in variational mode decomposition from CT images. 807-821 - Sangeetha Balachandran
, Vidhyapriya Ranganathan:
Semantic context-aware attention UNET for lung cancer segmentation and classification. 822-836 - Quan Sheng, Yutao Zhang, Haifeng Shi, Zhuqing Jiao
:
Global iterative optimization framework for predicting cognitive function statuses of patients with end-stage renal disease. 837-852 - Muhammet Emin Sahin
:
Image processing and machine learning-based bone fracture detection and classification using X-ray images. 853-865 - Dania Mushtaq
, Tahir Mustafa Madni
, Uzair Iqbal Janjua
, Fozia Anwar, Ahmad Kakakhail
:
An automatic gastric polyp detection technique using deep learning. 866-880 - Swati P. Pawar
, Sanjay N. Talbar:
Multi-level deep learning based lung cancer classifier for classification based on tumour-node-metastasis approach. 881-894 - Necip Cinar, Mehmet Kaya
, Buket Kaya
:
A novel convolutional neural network-based approach for brain tumor classification using magnetic resonance images. 895-908 - Geetha Pavani Pappu
, Sreekar Tankala
, Krishna Talabhaktula
, Birendra Biswal
:
EANet: Multiscale autoencoder based edge attention network for fluid segmentation from SD-OCT images. 909-927 - Prasenjit Dhar
, Suganya Devi Kothandapani, Satish Kumar Satti, Srinivasan Padmanabhan:
HPKNN: Hyper-parameter optimized KNN classifier for classification of poikilocytosis. 928-950 - Mehmet Ercan Nergiz
:
Federated learning-based colorectal cancer classification by convolutional neural networks and general visual representation learning. 951-964 - Priyanka Arora
, Parminder Singh, Akshay Girdhar, Rajesh Vijayvergiya:
Performance analysis of various denoising filters on intravascular ultrasound coronary artery images. 965-984 - Sandeep Singh Sengar
, Christopher Meulengracht, Mikael Ploug Boesen, Anders Føhrby Overgaard, Henrik Gudbergsen, Janus Damm Nybing, Mathias Perslev, Erik Bjørnager Dam
:
Multi-planar 3D knee MRI segmentation via UNet inspired architectures. 985-998 - Mustafa Gürman, Bülent Bilgehan
, Özlem Sabuncu
, Omid Mirzaei
:
A powerful probabilistic model for noise analysis in medical images. 999-1013 - Mahesh Gour
, Sweta Jain
, Sushant Kaushal
:
XCapsNet: A deep neural network for automated detection of diabetic retinopathy. 1014-1027 - Deepak Saini
, Ashima Khosla
, Trilok Chand, Devendra K. Chouhan, Mahesh Prakash:
Automated knee osteoarthritis severity classification using three-stage preprocessing method and VGG16 architecture. 1028-1047 - Ravindranath Kadirappa
, Deivalakshmi Subbian, Pandeeswari Ramasamy, Seok-Bum Ko:
Histopathological carcinoma classification using parallel, cross-concatenated and grouped convolutions deep neural network. 1048-1061 - Yanyan Shi, Zhang Yuhang, Meng Wang, Gao Zhen, Dai Meng, Feng Fu:
Image reconstruction based on a modified bird swarm optimization algorithm for electrical impedance tomography. 1062-1072 - Prabhishek Singh
, Manoj Diwakar
:
Total variation-based ultrasound image despeckling using method noise thresholding in non-subsampled contourlet transform. 1073-1091 - Qi Ding, Navid Razmjooy
:
An optimal diagnosis system for melanoma dermoscopy images based on enhanced design of horse herd optimizer. 1092-1107

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.