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Navid Khalili Dizaji and Mustafa Dogan
Brain tumors are one of the deadliest types of cancer. Rapid and accurate identification of brain tumors, followed by appropriate surgical intervention or chemotherapy, increases the probability of survival. Accurate determination of brain tumors in MRI ...
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Mahbuba Begum, Sumaita Binte Shorif, Mohammad Shorif Uddin, Jannatul Ferdush, Tony Jan, Alistair Barros and Md Whaiduzzaman
Digital multimedia elements such as text, image, audio, and video can be easily manipulated because of the rapid rise of multimedia technology, making data protection a prime concern. Hence, copyright protection, content authentication, and integrity ver...
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Shahriar Mahmud Kabir, Mohammed I. H. Bhuiyan, Md Sayed Tanveer and ASM Shihavuddin
This study presents two new approaches based on Weighted Contourlet Parametric (WCP) images for the classification of breast tumors from B-mode ultrasound images. The Rician Inverse Gaussian (RiIG) distribution is considered for modeling the statistics o...
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Josephina Paul, B. Uma Shankar and Balaram Bhattacharyya
Change detection (CD) using Remote sensing images have been a challenging problem over the years. Particularly in the unsupervised domain it is even more difficult. A novel automatic change detection technique in the unsupervised framework is proposed to...
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Sheng Cai, Pei-Zhong Liu, Yan-Min Luo, Yong-Zhao Du and Jia-Neng Tang
Microcalcification is the most important landmark information for early breast cancer. At present, morphological artificial observation is the main method for clinical diagnosis of such diseases, but it is easy to cause misdiagnosis and missed diagnosis....
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Guangming Du, Min Dong, Yi Sun, Shuyi Li, Xiaomin Mu, Hongbin Wei, Lei Ma and Bang Liu
The proposed scheme can efficiently help doctors to perform computer-aided detection of the architectural distortion in mammograms.
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Wang Xin, Tang Can, Wang Wei and Li Ji
Aiming at the change detection of water resources via remote sensing, the non-subsampling contour transformation method combining a log-vari model and the Stractural Similarity of Variogram (VSSIM) model, namely log-vari and VSSIM based non-subsampled co...
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Mike Giansiracusa,Larry Pearlstein,Tyler Daws,Soundararajan Ezekiel,Abdullah Ali Alshehri
Multi-resolution image decomposition transforms are a popular approach to current image processing problems such as image fusion, noise reduction, and deblurring. Over the past few decades, new algorithms have been developed based on the wavelet transfor...
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Po, D.D.-Y.; Do, M.N.
Pág. 1610 - 1620
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Da Cunha, A.L.; Zhou, J.; Do, M.N.
Pág. 3089 - 3101
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