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ORCIDInternational Journal of Imaging Systems and Technology, Volume 30
Volume 30, Number 1, March 2020
- Suting Peng
, Wei Chen, Jiawei Sun, Boqiang Liu:
Multi-Scale 3D U-Nets: An approach to automatic segmentation of brain tumor. 5-17 - Roobaea Alroobaea, Saeed Rubaiee, Sami Bourouis, Nizar Bouguila, Abdulmajeed Alsufyani:
Bayesian inference framework for bounded generalized Gaussian-based mixture model and its application to biomedical images classification. 18-30 - Phil Heo, Han-Joong Kim, Sang-Doc Han, Donghyuk Kim, Geun Ho Im, Soobum Kim, Kyoung-Nam Kim:
A study on multiple array method of birdcage coils to improve the signal intensity and homogeneity in small-animal whole-body magnetic resonance imaging at 7 T. 31-44 - Nasser Edinne Benhassine, Abdelnour Boukaache, Djalil Boudjehem:
Classification of mammogram images using the energy probability in frequency domain and most discriminative power coefficients. 45-56 - N. Bharanidharan, Harikumar Rajaguru:
Performance enhancement of swarm intelligence techniques in dementia classification using dragonfly-based hybrid algorithms. 57-74 - Semra Içer:
Functional connectivity differences in brain networks from childhood to youth. 75-91 - Ting Wang, Xi Wu, Jiefeng Jiang, Chang Liu, Ming Zhu:
Functional neural interactions during adaptive reward learning: An functional magnetic resonance imaging study. 92-103 - Belkacem Hachemi, Zouaoui Chama, Fatiha Alim-Ferhat, El-sedik Lamini, Abdelkader Abderrahmane, Macho Anani, Catherine Choquet:
Fully automatic multisegmentation approach for magnetic resonance imaging brain tumor detection using improved region-growing and quasi-Monte Carlo-expectation maximization algorithm. 104-111 - Prakhar Jain, Shubham Bauskar, Manasi Gyanchandani:
Neural network based non-invasive method to detect anemia from images of eye conjunctiva. 112-125 - S. R. Sannasi Chakravarthy, Harikumar Rajaguru:
Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme learning machine and non-linear regression models: A comparison. 126-146 - Mohamed Kasim Mariam Bee, Krishnan Vidhya:
An automated methodology for the classification of focal and nonfocal EEG signals using a hybrid classification approach. 147-153 - Munsif Ali Jatoi, Nidal S. Kamel, José D. López:
Multiple sparse priors technique with optimized patches for brain source localization. 154-167 - Thangavel Renukadevi, Saminathan Karunakaran:
Optimizing deep belief network parameters using grasshopper algorithm for liver disease classification. 168-184 - Olfa Moussa, Hajer Khachnaoui, Ramzi Guetari, Nawres Khlifa:
Thyroid nodules classification and diagnosis in ultrasound images using fine-tuning deep convolutional neural network. 185-195 - Selladurai Anbumozhi:
Computer aided detection and diagnosis methodology for brain stroke using adaptive neuro fuzzy inference system classifier. 196-202 - I. Nagarajan, G. G. Lakshmi Priya:
Removal of noise in MRI images using a block difference-based filtering approach. 203-215 - Daniel Hernández, Jeung-Hoon Seo, Kyoung-Nam Kim:
Linear array arrangement using composite right-/left-handed transmission lines for magnetic resonance imaging. 216-223 - Rafid Mostafiz, Mosaddik Hasan, Imran Hossain, Mohammad Motiur Rahman:
An intelligent system for gastrointestinal polyp detection in endoscopic video using fusion of bidimensional empirical mode decomposition and convolutional neural network features. 224-233 - K. Michael Mahesh, J. Arokia Renjit:
Multiclassifier for severity-level categorization of glioma tumors using multimodal magnetic resonance imaging brain images. 234-251 - Mücahid Barstugan, Rahime Ceylan, Semih Asoglu, Hakan Cebeci, Mustafa Koplay:
Adrenal tumor characterization on magnetic resonance images. 252-265
Volume 30, Number 2, June 2020
- Jiao Du, Weisheng Li:
Two-scale image decomposition based image fusion using structure tensor. 271-284 - U. Rajendra Acharya, Kristen M. Meiburger, Joel E. W. Koh, Edward J. Ciaccio, Jahmunah Vicnesh, Sock Keow Tan, Jeannie Hsiu Ding Wong, Raja Rizal Azman Raja Aman, Kwan Hoong Ng:
Automated detection of calcified plaque using higher-order spectra cumulant technique in computer tomography angiography images. 285-297 - Yingran Ma, Yanjun Peng:
Lymph node detection method based on multisource transfer learning and convolutional neural network. 298-310 - Faruk Serin, Metin Erturkler:
A novel proximity graph: Circular neighborhood cell graph for histopathological tissue image analyzing. 311-326 - Anindya Gupta, Tonis Saar, Olev Märtens, Yannick Le Moullec, Ida-Maria Sintorn:
Detection of pulmonary micronodules in computed tomography images and false positive reduction using 3D convolutional neural networks. 327-339 - Shirly Sundarsingh, Ramesh Kesavan:
Diagnosis of disc bulge and disc desiccation in lumbar MRI using concatenated shape and texture features with random forest classifier. 340-347 - Kalyanakumar Jayapriya, Israel Jeena Jacob:
Hybrid fully convolutional networks-based skin lesion segmentation and melanoma detection using deep feature. 348-357 - V. Antony Asir Daniel, R. Ravi:
Noninvasive methods of classification and staging of chronic hepatic diseases. 358-366 - Balraj Keerthiveena, Sankaralingam Esakkirajan, K. Selvakumar, T. Yogesh:
Computer-aided diagnosis of retinal diseases using multidomain feature fusion. 367-379 - Pandia Rajan Jeyaraj, Edward Rajan Samuel Nadar:
High-performance dynamic magnetic resonance image reconstruction and synthesis employing deep feature learning convolutional networks. 380-390 - Vineeta Kumari, Aijaz Ahmed, Tirupathiraju Kanumuri, Chandra Shakher, Gyanendra Sheoran:
Early detection of cancerous tissues in human breast utilizing near field microwave holography. 391-400 - Wen Li, Xianwei Jiang, Weibin Sun, Shuihua Wang, Chao Liu, Xuan Zhang, Yudong Zhang, Wei Zhou, Leiying Miao:
Gingivitis identification via multichannel gray-level co-occurrence matrix and particle swarm optimization neural network. 401-411 - Raghupathy Ramasamy, Chitra Chinnasamy:
Detection and segmentation of cancer regions in cervical images using fuzzy logic and adaptive neuro fuzzy inference system classification method. 412-420 - Yingteng Zhang, Shenquan Liu, Xiaoli Yu:
Longitudinal structural MRI analysis and classification in Alzheimer's disease and mild cognitive impairment. 421-433 - HongZhen Wang, YuanShi Li, Liang Tang, JinLing Zhang, Xigang Xiao:
Evaluation of multi-slice spiral computed tomography application in the diagnosis of arterial root lesions. 434-444 - Lakshmi Devan, K. Palani Thanaraj, M. Arunmozhi:
Convolutional neural network in the detection of lung carcinoma using transfer learning approach. 445-454 - Xun-Heng Wang, Yun Jiao, Lihua Li:
Decoding visual network-related dynamic functional connectivity for eyes-open and eyes-closed using machine learning. 455-463 - Wenxue Zhang, Jianbo Jian, Cuiyun Sun, Jie Chen, Wenjuan Lv, Mengyu Sun, Yuqing Zhao, Qi Zhao, Chunhong Hu:
High-resolution 3D imaging of microvascular architecture in human glioma tissues using X-ray phase-contrast computed tomography as a potential adjunct to histopathology. 464-472 - Elaheh Hatamimajoumerd, Alireza Talebpour, Yalda Mohsenzadeh:
Enhancing multivariate pattern analysis for magnetoencephalography through relevant sensor selection. 473-494 - Zijun Sha, Lin Hu, Babak Daneshvar Rouyendegh:
Deep learning and optimization algorithms for automatic breast cancer detection. 495-506
Volume 30, Number 3, September 2020
- Mohamed L. Seghier:
The COVID-19 pandemic: What can bioengineers, computer scientists and big data specialists bring to the table. 511-512
- Lili Zheng, Guoxiang Wang, Fenglei Zhang, Qingxue Zhao, Chunlai Dai, Nasser Yousefi:
Breast cancer diagnosis based on a new improved Elman neural network optimized by meta-heuristics. 513-526 - Birendra Biswal, Eadara Vyshnavi, Dwiti Krishna Bebarta, Gupteswar Sahu:
Robust segmentation of optic disc and optic cup using statistical Kurtosis test. 527-543 - Padma Ganasala, Achanta Durga Prasad:
Medical image fusion based on laws of texture energy measures in stationary wavelet transform domain. 544-557 - Bikash Meher, Sanjay Agrawal, Rutuparna Panda, Lingraj Dora, Ajith Abraham:
A novel region-based multimodal image fusion technique using improved dictionary learning. 558-576 - Shweta Saxena, Sanyam Shukla, Manasi Gyanchandani:
Pre-trained convolutional neural networks as feature extractors for diagnosis of breast cancer using histopathology. 577-591 - Kamlesh Pawar, Zhaolin Chen, Jingxin Zhang, N. Jon Shah, Gary F. Egan:
Application of compressed sensing using chirp encoded 3D GRE and MPRAGE sequences. 592-604 - N. Bharanidharan, Harikumar Rajaguru:
Improved chicken swarm optimization to classify dementia MRI images using a novel controlled randomness optimization algorithm. 605-620 - Mahesh Gour, Sweta Jain, T. Sunil Kumar:
Residual learning based CNN for breast cancer histopathological image classification. 621-635 - A. Prabhu Chakkaravarthy, A. Chandrasekar:
Anatomical region segmentation method from dermoscopic images of pigmented skin lesions. 636-652 - Yuying Rong, Xiaojun Wu, Yumei Zhang:
Classification of motor imagery electroencephalography signals using continuous small convolutional neural network. 653-659 - L. Jerlin Rubini, Eswaran Perumal:
Efficient classification of chronic kidney disease by using multi-kernel support vector machine and fruit fly optimization algorithm. 660-673 - P. L. Chithra, G. Dheepa:
Di-phase midway convolution and deconvolution network for brain tumor segmentation in MRI images. 674-686 - Monika Agarwal, Geeta Rani, Vijaypal Singh Dhaka:
Optimized contrast enhancement for tumor detection. 687-703 - Jiahui Pan, Jianhao Zhang, Siqi Luo, Jiantao Zhang, Yan Liang:
Automatic annotation of liver computed tomography images based on a vessel-skeletonization method. 704-715 - Arumugham Sukanya, Rajendran Rajeswari, Kamatchigounder Subramaniam Murugan:
Region based coronary artery segmentation using modified Frangi's vesselness measure. 716-730 - D. Divya, T. R. Ganeshbabu:
Fitness adaptive deer hunting-based region growing and recurrent neural network for melanoma skin cancer detection. 731-752 - Li-Hui Lin, Tzong-Jer Chen:
A novel scheme for image sharpness using inflection points. 753-760 - Maryjo M. George, Kalaivani S.:
A diffusion-based compensation approach for intensity inhomogeneity correction in MRI. 761-778 - Soumi Ray, Vinod Kumar:
Information count and distribution matrix: A contemporary approach for content-based brain image indexing. 779-793 - Meeta Kalra, Nizar Bouguila, Wentao Fan:
Online variational learning of finite inverted Beta-Liouville mixture model for biomedical analysis. 794-814 - Pramila Arulanthu, Eswaran Perumal:
An intelligent IoT with cloud centric medical decision support system for chronic kidney disease prediction. 815-827 - Hanli Zhao, Xiaqing Qiu, Wanglong Lu, Hui Huang, Xiaogang Jin:
High-quality retinal vessel segmentation using generative adversarial network with a large receptive field. 828-842
Volume 30, Number 4, December 2020
- Velmurugan Subbiah Parvathy, Sivakumar Pothiraj, Jenyfal Sampson:
A novel approach in multimodality medical image fusion using optimal shearlet and deep learning. 847-859 - Qunyong Yuan, Nanfeng Xiao:
Experimental exploration on loss surface of deep neural network. 860-873 - Bojaraj Leena, Annamalai Jayanthi:
Brain tumor segmentation and classification via adaptive CLFAHE with hybrid classification. 874-898 - K. Vijila Rani, S. Joseph Jawhar:
Superpixel with nanoscale imaging and boosted deep convolutional neural network concept for lung tumor classification. 899-915 - Abel Zhou, Yuming Yin, Qi Tan, Graeme L. White, Rob Davidson:
The determination of the optimal strip-thickness of anti-scatter grids for a given grid ratio and strip height. 916-925 - Kalaiselvi Thiruvenkadam, Thiyagarajan Padmapriya, Padmanaban Sriramakrishnan, Venugopal Priyadharshini:
Development of automatic glioma brain tumor detection system using deep convolutional neural networks. 926-938 - Zhi Li, Zhenhong Jia, Jie Yang, Nikola K. Kasabov:
An efficient and high quality medical CT image enhancement algorithm. 939-949 - Zihao Ni, Yanjun Peng:
A serialized classification method for pulmonary nodules based on lightweight cascaded convolutional neural network-long short-term memory. 950-962 - Panpan Liu, Xianze Xu:
Oriented distance regularized level set evolution for image segmentation. 963-977 - Ashokkumar S. R, MohanBabu G, Anupallavi S:
A novel two-band equilateral wavelet filter bank method for an automated detection of seizure from EEG signals. 978-993 - R. S. Chithra, P. Jagatheeswari:
Severity detection and infection level identification of tuberculosis using deep learning. 994-1011 - K. Nirmalakumari, Harikumar Rajaguru, P. Rajkumar:
Performance analysis of classifiers for colon cancer detection from dimensionality reduced microarray gene data. 1012-1032 - Bing He, Jiangtao Cui, Yanguo Peng, Tengfei Yang:
Image analysis by fast improved radial harmonic-Fourier moments algorithm. 1033-1045 - Tehmina Shehryar, Muhammad Usaid Akram, Samina Khalid, Shamila Nasreen, Anum Tariq, Aqib Perwaiz, Arslan Shaukat:
Improved automated detection of glaucoma by correlating fundus and SD-OCT image analysis. 1046-1065 - Zhancheng Zhang, Jie Cui, Xiaoqing Luo, Qingjun You:
Statistical correlative model in the multimodal fusion of brain images. 1066-1079 - Sajjad Afrakhteh, Hamid Behnam:
A fast and high frame rate adaptive beamforming using DCT-based RF-line recovery in line-by-line ultrasound imaging. 1080-1094 - Shengzhou Xu, Ehsan Adeli, Jie-Zhi Cheng, Lei Xiang, Yang Li, Seong-Whan Lee, Dinggang Shen:
Mammographic mass segmentation using multichannel and multiscale fully convolutional networks. 1095-1107 - Muhammad Junaid Ali, Basit Raza, Ahmad Raza Shahid, Fahad Mahmood, Muhammad Adil Yousuf, Amir Hanif Dar, Uzair Iqbal:
Enhancing breast pectoral muscle segmentation performance by using skip connections in fully convolutional network. 1108-1118 - R. Pugalenthi, A. Sheryl Oliver, M. Anuradha:
Impulse noise reduction using hybrid neuro-fuzzy filter with improved firefly algorithm from X-ray bio-images. 1119-1131 - Jimin Yu, Long Chen, Shangbo Zhou, Limin Wang, Hantao Li, Saiao Huang:
Adaptive image denoising for speckle noise images based on fuzzy logic. 1132-1142 - F. Ajesh, R. Ravi:
Hybrid features and optimization-driven recurrent neural network for glaucoma detection. 1143-1161 - Tamalika Chaira:
Intuitionistic fuzzy approach for enhancement of low contrast mammogram images. 1162-1172 - Vishnu TV, Ranjith V. Ravi, A Reema Mathew, Anoop Balakrishnan Kadan, Perumal Sankar Subbian:
Automatic diagnosis of diabetic retinopathy with the aid of adaptive average filtering with optimized deep convolutional neural network. 1173-1193 - Urvashi Sharma, Meenakshi Sood, Emjee Puthooran:
Volumetric medical image compression using inter-slice correlation switched prediction approach. 1194-1208 - Somasundaram Devaraj, Subramaniam Gnanasaravanan, Nirmala Madian:
Automatic segmentation of nuclei from pap smear cell images: A step toward cervical cancer screening. 1209-1219 - Haixin Peng, Yinjun Peng:
Spatio-temporal context based recurrent visual attention model for lymph node detection. 1220-1242 - Fahimeh Mohagheghian, Mohammad Reza Deevband, Nasser Samadzadehaghdam, Hassan Khajehpour, Bahador Makkiabadi:
An enhanced weighted greedy analysis pursuit algorithm with application to EEG signal reconstruction. 1243-1255 - Lamia Nabil Mahdy, Kadry Ali Ezzat, Mohamed A. Torad, Aboul Ella Hassanien:
Automatic segmentation system for liver tumors based on the multilevel thresholding and electromagnetism optimization algorithm. 1256-1270 - Sreedhar Kollem, Katta Rama Linga Reddy, Duggirala Srinivasa Rao:
Modified transform-based gamma correction for MRI tumor image denoising and segmentation by optimized histon-based elephant herding algorithm. 1271-1293 - Prabhjot Kaur, Prakul Sharma, Ankur Palmia:
Fuzzy clustering-based image segmentation techniques used to segment magnetic resonance imaging/computed tomography scan brain tissues: Comparative analysis. 1294-1323 - Sanjukta Rani Jena, Thomas George Selvaraj:
Morphological feature extraction and KNG-CNN classification of CT images for early lung cancer detection. 1324-1336 - Karuna Yepuganti, Saritha Saladi, C. Venkata Narasimhulu:
Segmentation of tumor using PCA based modified fuzzy C means algorithms on MR brain images. 1337-1345
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