Results 111 to 120 of about 1,112 (156)

Computer-Aided Histopathological Image Analysis Techniques for Automated Nuclear Atypia Scoring of Breast Cancer: a Review. [PDF]

J Digit Imaging, 2020
Das A, Nair MS, Peter SD.
europepmc   +1 more source

Texture features in the Shearlet domain for histopathological image classification. [PDF]

BMC Med Inform Decis Mak, 2020
Alinsaif S, Lang J.
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A multistep deep learning framework for the automated detection and segmentation of astrocytes in fluorescent images of brain tissue. [PDF]

Sci Rep, 2020
Kayasandik CB, Ru W, Labate D.
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Fast multicomponent 3D-T_1ρ relaxometry. [PDF]

NMR Biomed, 2020
Zibetti MVW, Helou ES, Sharafi A, Regatte RR.   +3 more
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Multiscale higher-order TV operators for L1 regularization. [PDF]

Adv Struct Chem Imaging, 2018
Sanders T, Platte RB.
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Motion-corrected MRI with DISORDER: Distributed and incoherent sample orders for reconstruction deblurring using encoding redundancy. [PDF]

Magn Reson Med, 2020
Cordero-Grande L, Ferrazzi G, Teixeira RPAG, O'Muircheartaigh J, Price AN, Hajnal JV.   +5 more
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Denoising of Optical Coherence Tomography Images in Ophthalmology Using Deep Learning: A Systematic Review. [PDF]

J Imaging
Ahmed H, Zhang Q, Donnan R, Alomainy A.
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Mask Responses for Single-Pixel Terahertz Imaging. [PDF]

Sci Rep, 2018
Augustin S, Frohmann S, Jung P, Hübers HW.   +3 more
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Curvelet Transform-based volume fusion for correcting signal loss artifacts in Time-of-Flight Magnetic Resonance Angiography data. [PDF]

Comput Biol Med, 2018
Baghaie A, Schnell S, Bakhshinejad A, Fathi MF, D'Souza RM, Rayz VL.   +5 more
europepmc   +1 more source

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Edges and Corners With Shearlets

IEEE Transactions on Image Processing, 2015
Shearlets are a relatively new and very effective multi-scale framework for signal analysis. Contrary to the traditional wavelets, shearlets are capable to efficiently capture the anisotropic information in multivariate problem classes. Therefore, shearlets can be seen as the valid choice for multi-scale analysis and detection of directional sensitive ...
Miguel A Duval-Poo, Francesca Odone, Ernesto De Vito   +2 more
exaly   +4 more sources