Journal: Int. J. Imaging Systems and Technology

Volume 32, Issue 6

1819 -- 1821Mohamed L. Seghier. It is time to make neuroimaging research data beneficial to the participants
1822 -- 1831Martti Juhola, Henry Joutsijoki, Kirsi Penttinen, Disheet Shah, Katriina Aalto-Setälä. A method to measure data complexity of a complicated medical data set
1832 -- 1845Thanh-Hai Nguyen 0001, Huong Hoang Luong, Phat Tan Phan, Hung Nguyen Duc Huy, Duong Ly, Duc-Minh Phan, Tin Trung Do. HS-UNET-ID: An approach for human skin classification integrating between UNET and improved dense convolutional network
1846 -- 1860B. Chitra, S. S. Kumar 0001. Early cervical cancer diagnosis using Sooty tern-optimized CNN-LSTM classifier
1861 -- 1879mamta juneja, Sumindar Kaur Saini, Rajarshi Acharjee, Sambhav Kaul, Niharika Thakur, Prashant Jindal. PC-SNet for automated detection of prostate cancer in multiparametric-magnetic resonance imaging
1880 -- 1888S. R. Sannasi Chakravarthy, Harikumar Rajaguru. SKMAT-U-Net architecture for breast mass segmentation
1889 -- 1902Atefe Aghaei, Mohsen Ebrahimi Moghaddam, Hamed Malek. Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model-agnostic explanations
1903 -- 1915Adam Hasse, Julian Bertini, Sean Foxley, Yong Jeong, Adil Javed, Timothy J. Carroll. Application of a novel T1 retrospective quantification using internal references (T1-REQUIRE) algorithm to derive quantitative T1 relaxation maps of the brain
1916 -- 1927Sabeena Karim Kutty, Gopakumar Chandrasekhara Menon. Enhancing convolutional neural network model with spectral features for the identification of cervical dysplasia
1928 -- 1940Qing Yang, Qingyuan Yan, Wuxia Zhang, Mayang Hao, Hao Chen 0049. Deep feature enhancement and Xgboost network for multi-organ classification
1941 -- 1952Vernon Furtado da Silva, Diego Augusto Santos Silva, Priscila Custódio Martins, Mauricio Rocha Calomeni, Ivete de Aquino Freire, Angeliete Garcês Militão, Célio José Borges, Guanis de Barros Vilela Junior, Mario Antônio de Moraes, Antônio José Rocha Martins Silva, Daniel de Almeida Marinho, Domingos Edno Castro Ribeiro, Edinilson Castro Ribeiro, João Rafael Valentim-Silva. Effect of physical exercise and noninvasive brain stimulation on cognition and dementia of elderly people with frailty: A randomized study
1953 -- 1962Doaa Mahmoud-Ghoneim. The effect of quantization at different resolutions on the classification of lesion texture in dermoscopic images using support vector machine
1963 -- 1977Mukta Sharma, Ayush Mandloi, Mahua Bhattacharya. A novel DeepML framework for multi-classification of breast cancer based on transfer learning
1978 -- 1989Harun Bingol. NCA-based hybrid convolutional neural network model for classification of cervical cancer on gauss-enhanced pap-smear images
1990 -- 2001Faruk Oztekin, Oguzhan Katar, Ferhat Sadak, Murat Aydogan, Tuba Talo Yildirim, Pawel Plawiak, Özal Yildirim, Muhammed Talo, Murat Karabatak. Automatic semantic segmentation for dental restorations in panoramic radiography images using U-Net model
2002 -- 2016Libing Hu, Yongchun Zhang, Kaidi Chen, Saleh Mobayen. A computer-aided melanoma detection using deep learning and an improved African vulture optimization algorithm
2017 -- 2033Remya Remani Sathyan, Gopakumar Chandrasekhara Menon, Hari Prasad, Hariharan Sreedharan, D. Jude Hemanth. Deep learning-based semantic segmentation of interphase cells and debris from metaphase images
2034 -- 2048Poonguzhali Elangovan, Malaya Kumar Nath. En-ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks
2049 -- 2065Kubilay Muhammed Sünnetci, Ahmet Alkan. Lung cancer detection by using probabilistic majority voting and optimization techniques
2066 -- 2079Guanzhong Zhang, Shengsheng Wang. Dense and shuffle attention U-Net for automatic skin lesion segmentation
2080 -- 2093Jiffy Joseph, Challa Hemanth, Pournami Pulinthanathu Narayanan, Jayaraj Pottekkattuvalappil Balakrishnan, Niyas Puzhakkal. Computed tomography image generation from magnetic resonance imaging using Wasserstein metric for MR-only radiation therapy
2094 -- 2106Kanimozhi Ganesan, Pichai Shanmugavadivu, Muthu Subash Kavitha, Masayoshi Takahashi. Data imputation in deep neural network to enhance breast cancer detection
2107 -- 2136Panduranga Vital Terlapu, Stalin Babu Gedela, Vijay Kumar Gangu, Rambabu Pemula. Intelligent diagnosis system of hepatitis C virus: A probabilistic neural network based approach
2137 -- 2153Marriam Nawaz, Tahira Nazir, Momina Masood, Farooq Ali, Muhammad Attique Khan, Usman Tariq, Naveera Sahar, Robertas Damasevicius. Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network
2154 -- 2162Ansi Pan, Shengzhou Xu. Mammographic mass recognition using feature reuse and channel attention mechanism
2163 -- 2183Sakambhari Mahapatra, Sanjay Agrawal 0002. An optimal statistical feature-based transformation function for enhancement of retinal images using adaptive enhanced leader particle swarm optimization
2184 -- 2197Guangzhe Zhao, Shuai Shao, Min Yu 0004. Key techniques for classification of thorax diseases based on deep learning
2198 -- 2218Phu-Hung Dinh, Long Giang Nguyen. A new medical image enhancement algorithm using adaptive parameters
2219 -- 2239Karthikamani R, Harikumar Rajaguru. Detection of liver abnormalities - A new paradigm in medical image processing and classification techniques
2240 -- 2254Sushitha Susan Joseph, Aju Dennisan. An affinity propagated clustering aided computerized Inherent Seeded Region Growing and Deep learned Marching Cubes Algorithm (ISRG-DMCA) based three dimensional image reconstruction approach
2255 -- 2261Volkan Akdogan, Vedat Özkaner, Fatih Özkan Alkurt, Muharrem Karaaslan. Theoretical and experimental sensing of bone healing by microwave approach
2262 -- 2280Dhiren Pandit, Jayesh Dhodiya, Yogeshwari Patel. Molecular cancer classification on microarrays gene expression data using wavelet-based deep convolutional neural network
2281 -- 2291Guangdong Liu, Kaiyin Zhang. A modified contrast source inversion method for microwave tomographic imaging of Debye dispersive media