IET computer vision
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
Table of contents
- 1047
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Guest Editorial: Computer Vision in Cancer Data Analysis| 2018
- 1049
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Texture-based feature extraction of smear images for the detection of cervical cancerArya, Mithlesh / Mittal, Namita / Singh, Girdhari et al. | 2018
- 1060
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Mammographic mass classification using filter response patchesSuhail, Zobia / Hamidinekoo, Azam / Zwiggelaar, Reyer et al. | 2018
- 1067
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Hybrid segmentation method based on multi‐scale Gaussian kernel fuzzy clustering with spatial bias correction and region‐scalable fitting for breast US imagesPanigrahi, Lipismita / Verma, Kesari / Singh, Bikesh Kumar et al. | 2018
- 1078
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Enhancement approach for liver lesion diagnosis using unenhanced CT imagesBalagourouchetty, Lakshmipriya / Pragatheeswaran, Jayanthi K. / Pottakkat, Biju et al. | 2018
- 1088
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Automated skin lesion segmentation of dermoscopic images using GrabCut and k‐means algorithmsJaisakthi, Seetharani Murugaiyan / Mirunalini, Palaniappan / Aravindan, Chandrabose et al. | 2018
- 1096
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Deep residual network with regularised fisher framework for detection of melanomaSultana, Nazneen N. / Mandal, Bappaditya / Puhan, N.B. et al. | 2018
- 1105
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Denoising adversarial autoencoders: classifying skin lesions using limited labelled training dataCreswell, Antonia / Pouplin, Alison / Bharath, Anil A. et al. | 2018
- 1112
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Deep hashing network for material defect image classificationYang, Kai / Sun, Zhiyi / Wang, Anhong et al. | 2018
- 1121
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Fine‐grained recognition of maritime vessels and land vehicles by deep feature embeddingSolmaz, Berkan / Gundogdu, Erhan / Yucesoy, Veysel et al. | 2018
- 1133
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Support vector machine approach to fall recognition based on simplified expression of human skeleton action and fast detection of start key frame using torso angleMin, Weidong / Yao, Leiyue / Lin, Zhenrong et al. | 2018
- 1141
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Object sequences: encoding categorical and spatial information for a yes/no visual question answering taskGarg, Shivam / Srivastava, Rajeev et al. | 2018
- 1151
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Palmprint recognition using a modified competitive code with distinctive extended neighbourhoodZhao, Weiqiang / Pang, Liaojun / Xiao, Kai et al. | 2018
- 1163
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High variation removal for background subtraction in traffic surveillance systemsViet‐Uyen Ha, Synh / Nguyen‐Ngoc Tran, Duong / Nguyen, Tien Phuoc et al. | 2018
- 1171
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ResFusion: deeply fused scene parsing network for RGB‐D imagesDai, Juting / Tang, Xinyi et al. | 2018
- 1179
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Multi‐layer fusion techniques using a CNN for multispectral pedestrian detectionChen, Yunfan / Xie, Han / Shin, Hyunchul et al. | 2018
- 1188
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Automatic multi‐circle detection on images using the teaching learning based optimisation algorithmLópez, Alan / Cuevas, Francisco J. et al. | 2018
- 1200
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Improved dual‐mode compressive tracking integrating balanced colour and texture featuresSun, Shuifa / Liu, Shichao / Kang, Shiwei et al. | 2018
- 1207
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Robust tracking of multiple objects in video by adaptive fusion of subband particle filtersMahmoud, Ahmed / Sherif, Sherif S. et al. | 2018
- 1219
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Enhanced multi‐dataset transfer learning method for unsupervised person re‐identification using co‐training strategyXian, Yuqiao / Hu, Haifeng et al. | 2018