- V. Karthikeyan, M. Navin Kishore, S. Sajin:
End-to-end light-weighted deep-learning model for abnormality classification in kidney CT images. Int. J. Imaging Syst. Technol. 34(1) (2024) - Baiju Karun, Thiyagarajan Arun Prasath, M. Pallikonda Rajasekaran, Rakhee Makreri:
Glioma detection using EHO based FLAME clustering in MR brain images. Int. J. Imaging Syst. Technol. 34(1) (2024) - Komalpreet Kaur, Amanpreet Kaur:
In silico, in vitro, and in vivo validation of a microwave imaging system using a low-profile Ultra Wide Band Archimedean spiral antenna to detect skin cancer. Int. J. Imaging Syst. Technol. 34(1) (2024) - Saif Ur Rehman Khan, Ming Zhao, Sohaib Asif, Xuehan Chen:
Hybrid-NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis. Int. J. Imaging Syst. Technol. 34(1) (2024) - Hafiz Muhammad Tayyab Khushi, Tehreem Masood, M. Arfan Jaffar, Sheeraz Akram, Sohail Masood Bhatti:
Performance analysis of state-of-the-art CNN architectures for brain tumour detection. Int. J. Imaging Syst. Technol. 34(1) (2024) - Hayoung Kim, Hoseong Cho, Weonjoon Lee, Keunbada Son, Kyu-Bok Lee, Mansik Jeon, Jeehyun Kim:
Development of handheld optical coherence tomography based on commercial intra-oral scanner shape for extended clinical utility in dentistry. Int. J. Imaging Syst. Technol. 34(1) (2024) - Muhamed Jishad Thrikkannoor Kolathod, M. Sanjay:
Use of covariance matrix images for electroencephalography signal classification for multiclass motor imagery-based brain computer interface. Int. J. Imaging Syst. Technol. 34(1) (2024) - Temitope Emmanuel Komolafe, Yuchi Tian, Olanrewaju James Awoniya, Shuangqing Chen, Xiaodong Yang:
Comparative analysis of cone-beam breast computed tomography and digital breast tomosynthesis for breast cancer diagnosis: A comprehensive study on reconstruction algorithms. Int. J. Imaging Syst. Technol. 34(3) (2024) - Lakshmi Prasanna Kothala, Sitaramanjaneya Reddy Guntur:
An efficient stacked bidirectional GRU-LSTM network for intracranial hemorrhage detection. Int. J. Imaging Syst. Technol. 34(1) (2024) - J. Kowsalyadevi, P. Geetha:
Predicting coronary artery disease using learning rate based snow leopard optimization with soft swish scaling based bidirectional long short-term memory. Int. J. Imaging Syst. Technol. 34(1) (2024) - Xiuyan Li, Ruotong Ding, Qi Wang, Zhenyu Yang, Xiaojie Duan, Yukuan Sun, Aidong Liu:
EENet: Application of convolutional neural network-based deep learning methods in bone tumor pathological diagnosis. Int. J. Imaging Syst. Technol. 34(3) (2024) - Haiyan Li, Xu Wang, Yiyin Tang, Shuhua Ye:
BCUIS-Net: A breast cancer ultrasound image segmentation network via boundary-aware and shape feature fusion. Int. J. Imaging Syst. Technol. 34(1) (2024) - Dan Liang, Yangjun Pi, Kai Hu, Yuguo Cui, Ye Huang, Dongtai Liang, Shi-Liang Feng:
Accurate and fast extraction of adhesive cells based on concave points detection and matching. Int. J. Imaging Syst. Technol. 34(1) (2024) - Qiaohong Liu, Yuanjie Lin, Xiaoxiang Han, Keyan Chen, Weikun Zhang, Hui Yang:
Dual-branch feature extraction network combined with Transformer and CNN for polyp segmentation. Int. J. Imaging Syst. Technol. 34(1) (2024) - Chengzhun Lu, Zhangrun Xia, Krzysztof Przystupa, Orest Kochan, Jun Su:
DCELANM-Net: Medical image segmentation based on dual channel efficient layer aggregation network with learner. Int. J. Imaging Syst. Technol. 34(1) (2024) - Payal Malik, Ankit Vidyarthi:
Stacked deep model-based classification of the multiclass brain hemorrhages in CT scans. Int. J. Imaging Syst. Technol. 34(1) (2024) - Ritesh Maurya, Nageshwar Nath Pandey, Rakesh Chandra Joshi, Malay Kishore Dutta:
MacD-Net: An automatic guided-ensemble approach for macular pathology detection using optical coherence tomography images. Int. J. Imaging Syst. Technol. 34(1) (2024) - Moona Mazher, Abdul Qayyum, Domenec Puig, Mohamed Abdel-Nasser:
Deep learning-based survival prediction of brain tumor patients using attention-guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging. Int. J. Imaging Syst. Technol. 34(1) (2024) - Rajat Mehrotra, M. A. Ansari, Rajeev Agrawal, Hisham Al-Ward, Pragati Tripathi, Jay Singh:
An enhanced framework for identifying brain tumor using discrete wavelet transform, deep convolutional network, and feature fusion-based machine learning techniques. Int. J. Imaging Syst. Technol. 34(1) (2024) - Shang Miao, Qun Xu, Weimin Li, Chao Yang, Bin Sheng, Fangyu Liu, Tsigabu T. Bezabih, Xiao Yu:
MMTFN: Multi-modal multi-scale transformer fusion network for Alzheimer's disease diagnosis. Int. J. Imaging Syst. Technol. 34(1) (2024) - Balasundaram Muthukumar, Balusupati Veera Venkata Siva Prasad, Yeligeti Raju, Hitendra Kumar Lautre:
Gray level fuzzy deep neural networks for enhancing performance in lung disease detection: A comparative study with fuzzy logic methods. Int. J. Imaging Syst. Technol. 34(3) (2024) - Geetha Pavani Pappu, Prashanth Gowri Shankar Uppudi, Birendra Biswal, Srinivasa Rao Kandula, Meher Savedasa Dhavala, Giri Madhav Potturi, Paila Sai Sharat, Sridevi Polapragada, Nagadhara Harini Datti:
Shell-Net: A robust deep neural network for the joint segmentation of retinal fragments. Int. J. Imaging Syst. Technol. 34(1) (2024) - Vivek Patel, Vijayshri Chaurasia:
Efficient breast cancer diagnosis using multi-level progressive feature aggregation based deep transfer learning system. Int. J. Imaging Syst. Technol. 34(3) (2024) - K. Radha, Karuna Yepuganti:
Retinal vessel segmentation to diagnose diabetic retinopathy using fundus images: A survey. Int. J. Imaging Syst. Technol. 34(1) (2024) - M. Ramkumar, R. Sarath Kumar, R. Padmapriya, S. Karthick:
Brain tumor segmentation and survival time prediction using graph momentum fully convolutional network with modified Elman spike neural network. Int. J. Imaging Syst. Technol. 34(1) (2024) - Elias Ramzani, Meisam Yadollahzadeh Tabari, Mehdi Golsorkhtabaramiri, Ali A. Pouyan:
Diagnosing of Parkinson's disease based on hand drawing analysis using Bi-Directional LSTM equipped with fuzzy inferential soft-max classifier. Int. J. Imaging Syst. Technol. 34(1) (2024) - Somiya Rani, Amita Jain, Akshi Kumar, Guang Yang:
CCheXR-Attention: Clinical concept extraction and chest x-ray reports classification using modified Mogrifier and bidirectional LSTM with multihead attention. Int. J. Imaging Syst. Technol. 34(1) (2024) - Karishma Rao, Manu Bansal, Gagandeep Kaur:
An optimal system for increasing the contrast resolution qualities of histopathology images in the wavelet domain. Int. J. Imaging Syst. Technol. 34(1) (2024) - Asif Raza, Mohammed S. Alshehri, Sultan Almakdi, Ali Akbar Siddique, Mohammad Alsulami, Majed Alhaisoni:
Enhancing brain tumor classification with transfer learning: Leveraging DenseNet121 for accurate and efficient detection. Int. J. Imaging Syst. Technol. 34(1) (2024) - Suman Kumar Roy, Bhawana Rudra:
Quantum-inspired hybrid algorithm for image classification and segmentation: Q-Means++ max-cut method. Int. J. Imaging Syst. Technol. 34(1) (2024)