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Publication search results
found 157 matches
- 2022
- Lamiaa Abdel-Hamid:
TWEEC: Computer-aided glaucoma diagnosis from retinal images using deep learning techniques. Int. J. Imaging Syst. Technol. 32(1): 387-401 (2022) - Rania M. Abdelazeem, Omnia Hamdy:
Utilizing the spatial frequency domain imaging to investigate change in optical parameters of skin exposed to thermal-hydrotherapy: Ex-vivo study. Int. J. Imaging Syst. Technol. 32(5): 1661-1672 (2022) - Adel Abdelli, Rachida Saouli, Khalifa Djemal, Imane Youkana:
Multiple instance learning for classifying histopathological images of the breast cancer using residual neural network. Int. J. Imaging Syst. Technol. 32(3): 1015-1029 (2022) - Ashraf Abuelhaija, Gameel Saleh, Osama Nashwan, Samer Issa, Sanaa Salama:
Multi- and dual-tuned microstripline-based transmit/receive switch for 7-Tesla magnetic resonance imaging. Int. J. Imaging Syst. Technol. 32(2): 590-599 (2022) - Kwabena Adu, Yongbin Yu, Jingye Cai, Isaac Asare, Jennifer Quahin:
The influence of the activation function in a capsule network for brain tumor type classification. Int. J. Imaging Syst. Technol. 32(1): 123-143 (2022) - Prabhakar Agarwal, Sandeep Kumar:
Electroencephalography based imagined alphabets classification using spatial and time-domain features. Int. J. Imaging Syst. Technol. 32(1): 111-122 (2022) - Atefe Aghaei, Mohsen Ebrahimi Moghaddam, Hamed Malek:
Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model-agnostic explanations. Int. J. Imaging Syst. Technol. 32(6): 1889-1902 (2022) - Belal Ahmad, Mohd Usama, Tanvir Ahmad, Shabnam Khatoon, Chaudhary Maqbool Alam:
An ensemble model of convolution and recurrent neural network for skin disease classification. Int. J. Imaging Syst. Technol. 32(1): 218-229 (2022) - Zeeshan Ahmed, Shahbaz Qamar Panhwar, Attiya Baqai, Fahim Aziz Umrani, Munawar Ahmed, Arbaaz Khan:
Deep learning based automated detection of intraretinal cystoid fluid. Int. J. Imaging Syst. Technol. 32(3): 902-917 (2022) - Volkan Akdogan, Vedat Özkaner, Fatih Özkan Alkurt, Muharrem Karaaslan:
Theoretical and experimental sensing of bone healing by microwave approach. Int. J. Imaging Syst. Technol. 32(6): 2255-2261 (2022) - Nasrin Amini, Ahmad Shalbaf:
Automatic classification of severity of COVID-19 patients using texture feature and random forest based on computed tomography images. Int. J. Imaging Syst. Technol. 32(1): 102-110 (2022) - Antony Dennis Ananth, Chenniappan Palanisamy:
Extended and optimized deep convolutional neural network-based lung tumor identification in big data. Int. J. Imaging Syst. Technol. 32(3): 918-934 (2022) - Sadia Anjum, Lal Hussain, Mushtaq Ali, Monagi H. Alkinani, Wajid Aziz, Sabrina Gheller, Adeel Ahmed Abbasi, Ali Raza Marchal, Harshini Suresh, Tim Q. Duong:
Detecting brain tumors using deep learning convolutional neural network with transfer learning approach. Int. J. Imaging Syst. Technol. 32(1): 307-323 (2022) - Anisha Arulappan, Ajith Bosco Raj Thankaraj:
Liver tumor segmentation using a new asymmetrical dilated convolutional semantic segmentation network in CT images. Int. J. Imaging Syst. Technol. 32(3): 815-830 (2022) - Muzaffer Aslan:
CoviDetNet: A new COVID-19 diagnostic system based on deep features of chest x-ray. Int. J. Imaging Syst. Technol. 32(5): 1447-1463 (2022) - Pallavi Asthana, Madasu Hanmandlu, Sharda Vashisth:
Classification of brain tumor from magnetic resonance images using probabilistic features and possibilistic Hanman-Shannon transform classifier. Int. J. Imaging Syst. Technol. 32(1): 280-294 (2022) - Pallavi Asthana, Madasu Hanmandlu, Sharda Vashisth:
Brain tumor detection and patient survival prediction using U-Net and regression model. Int. J. Imaging Syst. Technol. 32(5): 1801-1814 (2022) - Saurabh Shrikant Athalye, Gaurav Vijay:
Taylor series-based deep belief network for automatic classification of diabetic retinopathy using retinal fundus images. Int. J. Imaging Syst. Technol. 32(3): 882-901 (2022) - Safa Ben Atitallah, Maha Driss, Wadii Boulila, Henda Ben Ghézala:
Randomly initialized convolutional neural network for the recognition of COVID-19 using X-ray images. Int. J. Imaging Syst. Technol. 32(1): 55-73 (2022) - Safa Ben Atitallah, Maha Driss, Wadii Boulila, Anis Koubaa, Henda Ben Ghézala:
Fusion of convolutional neural networks based on Dempster-Shafer theory for automatic pneumonia detection from chest X-ray images. Int. J. Imaging Syst. Technol. 32(2): 658-672 (2022) - Kushangi Atrey, Bikesh Kumar Singh, Abhijit Roy, Narendra Kuber Bodhey:
Real-time automated segmentation of breast lesions using CNN-based deep learning paradigm: Investigation on mammogram and ultrasound. Int. J. Imaging Syst. Technol. 32(4): 1084-1100 (2022) - Stalin Babu Gedela, S. N. Tirumala Rao, R. Rajeswara Rao:
Automated assessment for Alzheimer's disease diagnosis from MRI images: Meta-heuristic assisted deep learning model. Int. J. Imaging Syst. Technol. 32(2): 544-563 (2022) - Mourtada Benazzouz, Mohammed Lamine Benomar, Youcef Moualek:
Modified U-Net for cytological medical image segmentation. Int. J. Imaging Syst. Technol. 32(5): 1761-1773 (2022) - Cong Chao Bian, Ning Cao, Minghe Mao:
CSDL-Net: An iterative network based on compressed sensing and deep learning. Int. J. Imaging Syst. Technol. 32(5): 1511-1520 (2022) - M. B. Bijoy, Sai Manoj Akondi, S. Abdul Fathaah, Akash Raut, P. N. Pournami, P. B. Jayaraj:
Cervix type detection using a self-supervision boosted object detection technique. Int. J. Imaging Syst. Technol. 32(5): 1615-1630 (2022) - Harun Bingol:
NCA-based hybrid convolutional neural network model for classification of cervical cancer on gauss-enhanced pap-smear images. Int. J. Imaging Syst. Technol. 32(6): 1978-1989 (2022) - Nalini Bodasingi, Balaji Narayanam, Bhaskara Rao Jammu:
Automatic diagnosis of pneumonia using backward elimination method based SVM and its hardware implementation. Int. J. Imaging Syst. Technol. 32(3): 1000-1014 (2022) - Said Yacine Boulahia, Mohamed Akrem Benatia, Abderrahmane Bouzar:
Att2ResNet: A deep attention-based approach for melanoma skin cancer classification. Int. J. Imaging Syst. Technol. 32(2): 476-489 (2022) - Emine Cengil, Ahmet Çinar:
The effect of deep feature concatenation in the classification problem: An approach on COVID-19 disease detection. Int. J. Imaging Syst. Technol. 32(1): 26-40 (2022) - Sevim Cengiz, Muhammed Yildirim, Abdullah Bas, Esin Ozturk-Isik:
ORYX-MRSI: A fully-automated open-source software for proton magnetic resonance spectroscopic imaging data analysis. Int. J. Imaging Syst. Technol. 32(4): 1068-1083 (2022)
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