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- IET computer vision [remove]832
- 006.37 832
- Computer vision -- Periodicals 832
- Pattern recognition systems -- Periodicals 832
- learning (artificial intelligence) -- pattern classification 3
- computer graphics -- computer vision -- convolutional neural nets -- graphics processing units -- space‐time adaptive processing 2
- image segmentation 2
- 2D singularity analysis -- mammographic mass classification -- breast cancer -- Ripplet-II transform -- malignant masses -- benign masses -- breast tissues -- textural features -- Ripplet-II coefficients -- statistical covariates -- Ripplet-II transformed imaging -- texture information -- mammographic regions -- logistic regression technique -- linear discriminant analysis -- support vector machine -- ten-fold cross-validation -- receiver operating characteristic curve -- digital database -- screening mammography database 1
- 3D Gaussian surfaces -- convolution -- volumetric intensity inhomogeneity estimation -- 3D brain MR image data -- volumetric intensity inhomogeneity correction -- magnetic resonance imaging technique -- image-guided diagnosis -- clinical research -- image acquisition -- slow varying intensity inhomogeneity -- three-dimensional Gaussian surfaces -- volumetric IIH estimation -- Co3DGS technique -- cerebrospinal fluid -- local voxel gradients -- synthetic human image data -- in-vivo human image data -- pulse sequences -- coefficient of joint variation -- index of variation -- index of joint variation -- index of class separability -- root mean square error 1
- 3D Single‐view reconstruction -- point cloud -- point cloud pyramid 1
- 3D features -- 2D features -- road detection -- stereo cameras -- autonomous driving systems -- driving decision -- discriminative features -- effective features -- robust multifeature combination -- optimisation framework -- stereo image pairs -- Feature++ -- Gabor -- 2D super-pixel -- 3D depth image -- three-layer shallow neural network classifier -- conditional random field -- CRF -- KITTI ROAD benchmark -- deep learning methods -- source code 1