J. Bruna, Invariant Scattering Convolution Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.8, pp.1872-1886, 2013.
DOI : 10.1109/TPAMI.2012.230

D. Chen, Global Minimum for a Finsler Elastica Minimal Path Approach, International Journal of Computer Vision, vol.57, issue.2, pp.458-483, 2017.
DOI : 10.1007/s10915-013-9710-3

URL : https://hal.archives-ouvertes.fr/hal-01617271

Y. Kong, Discriminative Clustering and Feature Selection for Brain MRI Segmentation, IEEE Signal Processing Letters, vol.22, issue.5, pp.573-577, 2015.
DOI : 10.1109/LSP.2014.2364612

D. Chen, Global minimum for a variant Mumford???Shah model with application to medical image segmentation, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol.127, issue.1, pp.48-60, 2013.
DOI : 10.1006/jcph.1996.0167

URL : https://hal.archives-ouvertes.fr/hal-00906243

Y. Deng, A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification, IEEE Transactions on Fuzzy Systems, vol.25, issue.4, pp.1006-1012, 2017.
DOI : 10.1109/TFUZZ.2016.2574915

R. M. Haralick, Textural Features for Image Classification, IEEE Transactions on Systems, Man, and Cybernetics, vol.3, issue.6, pp.610-621, 1973.
DOI : 10.1109/TSMC.1973.4309314

C. Massot, Model of Frequency Analysis in the Visual Cortex and the Shape from Texture Problem, International Journal of Computer Vision, vol.14, issue.3???4, pp.165-182, 2008.
DOI : 10.1109/81.747199

URL : https://hal.archives-ouvertes.fr/hal-00342144

C. X. Ren, Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition, IEEE Transactions on Cybernetics, vol.46, issue.11, pp.2656-2669, 2016.
DOI : 10.1109/TCYB.2015.2484356

C. Gargour, A short introduction to wavelets and their applications, IEEE Circuits and Systems Magazine, vol.9, issue.2, 2009.
DOI : 10.1109/MCAS.2009.932556

H. M. Ozaktas, Fractional Fourier domains, Signal Processing, vol.46, issue.1, pp.119-124, 1995.
DOI : 10.1016/0165-1684(95)00076-P

URL : http://www.ee.bilkent.edu.tr/~haldun/publications/ozaktas090.pdf

R. Tao, Short-Time Fractional Fourier Transform and Its Applications, IEEE Transactions on Signal Processing, vol.58, issue.5, pp.2568-2580, 2010.
DOI : 10.1109/TSP.2009.2028095

L. Stankovi´cstankovi´c, Time???frequency signal analysis based on the windowed fractional Fourier transform, Signal Processing, vol.83, issue.11, pp.2459-2468, 2003.
DOI : 10.1016/S0165-1684(03)00197-X

S. Shinde, An uncertainty principle for real signals in the fractional Fourier transform domain, IEEE Transactions on Signal Processing, vol.49, issue.11, pp.2545-2548, 2001.
DOI : 10.1109/78.960402

URL : http://dspace.library.iitb.ac.in/xmlui/bitstream/10054/89/1/960402.pdf

D. Mendlovic, Fractional wavelet transform, Applied Optics, vol.36, issue.20, pp.4801-4806, 1997.
DOI : 10.1364/AO.36.004801

J. Shi, Multiresolution analysis and orthogonal wavelets associated with fractional wavelet transform, Signal, Image and Video Processing, vol.57, issue.1, pp.211-220, 2015.
DOI : 10.1109/TUFFC.2010.1693

, A novel fractional wavelet transform and its applications, Sci. China. Inform. Sci, vol.55, issue.6, pp.1270-1279, 2012.

H. Dai, A new fractional wavelet transform, Communications in Nonlinear Science and Numerical Simulation, vol.44, pp.19-36, 2017.
DOI : 10.1016/j.cnsns.2016.06.034

S. Mallat, Group Invariant Scattering, Communications on Pure and Applied Mathematics, vol.37, issue.10, pp.1331-1398, 2012.
DOI : 10.1137/S0036141002404838

, Recursive interferometric representation, Proc. EUSICO, Danemark, 2010.

A. Andrion, Malignant mesothelioma of the pleura: interobserver variability., Journal of Clinical Pathology, vol.48, issue.9, pp.856-860, 1995.
DOI : 10.1136/jcp.48.9.856

S. Reis, Automated Classification of Breast Cancer Stroma Maturity From Histological Images, IEEE Transactions on Biomedical Engineering, vol.64, issue.10, pp.2344-2352, 2017.
DOI : 10.1109/TBME.2017.2665602

Y. Xu, Gland Instance Segmentation Using Deep Multichannel Neural Networks, IEEE Transactions on Biomedical Engineering, vol.64, issue.12, pp.2901-2912, 2007.
DOI : 10.1109/TBME.2017.2686418

A. B. Tosun, Graph Run-Length Matrices for Histopathological Image Segmentation, IEEE Transactions on Medical Imaging, vol.30, issue.3, pp.721-732, 2011.
DOI : 10.1109/TMI.2010.2094200

C. Gunduz-demir, Automatic segmentation of colon glands using object-graphs, Medical Image Analysis, vol.14, issue.1, pp.1-12, 2010.
DOI : 10.1016/j.media.2009.09.001

K. Sirinukunwattana, A Stochastic Polygons Model for Glandular Structures in Colon Histology Images, IEEE Transactions on Medical Imaging, vol.34, issue.11, pp.2366-2378, 2015.
DOI : 10.1109/TMI.2015.2433900

P. Kainz, Semantic segmentation of colon glands with deep convolutional neural networks and total variation segmentation, 2015.

W. Li, Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), pp.1405-1408, 2016.
DOI : 10.1109/ISBI.2016.7493530

H. Chen, DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.2487-2496, 2016.
DOI : 10.1109/CVPR.2016.273

K. Sirinukunwattana, Gland segmentation in colon histology images: The glas challenge contest, Medical Image Analysis, vol.35, pp.489-502, 2017.
DOI : 10.1016/j.media.2016.08.008

O. Ronneberger, U-Net: Convolutional Networks for Biomedical Image Segmentation, Proc. MICCAI, pp.234-241, 2015.
DOI : 10.1007/978-3-319-24574-4_28

URL : http://arxiv.org/pdf/1505.04597

S. Lazebnik, A sparse texture representation using local affine regions, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.8, pp.1265-1278, 2005.
DOI : 10.1109/TPAMI.2005.151

URL : https://hal.archives-ouvertes.fr/inria-00548530

E. Sejdi´csejdi´c, Fractional Fourier transform as a signal processing tool: An overview of recent developments, Signal Processing, vol.91, issue.6, pp.1351-1369, 2011.
DOI : 10.1016/j.sigpro.2010.10.008

J. Shi, Multichannel sampling and reconstruction of bandlimited signals in fractional fourier domain, IEEE Signal. Proc. Let, vol.17, issue.11, pp.909-912, 2010.

B. Zhang, Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition, IEEE Transactions on Image Processing, vol.16, issue.1, pp.57-68, 2007.
DOI : 10.1109/TIP.2006.884956

C. X. Ren, Band-Reweighed Gabor Kernel Embedding for Face Image Representation and Recognition, IEEE Transactions on Image Processing, vol.23, issue.2, pp.725-740, 2014.
DOI : 10.1109/TIP.2013.2292560

I. W. Selesnick, The dual-tree complex wavelet transform, IEEE Signal Processing Magazine, vol.22, issue.6, pp.123-151, 2005.
DOI : 10.1109/MSP.2005.1550194

URL : https://scholarship.rice.edu/bitstream/1911/20355/1/Sel2005Nov1TheDualTre.PDF

I. W. Selesnick, The design of approximate Hilbert transform pairs of wavelet bases, IEEE Transactions on Signal Processing, vol.50, issue.5, pp.1144-1152, 2002.
DOI : 10.1109/78.995070

R. Achanta, Slic superpixels, Tech. Rep, 2010.

M. B. Salah, Multiregion Image Segmentation by Parametric Kernel Graph Cuts, IEEE Transactions on Image Processing, vol.20, issue.2, pp.545-557, 2011.
DOI : 10.1109/TIP.2010.2066982

A. , Recent developments in the theory of the fractional fourier and linear canonical transforms, B. Belg. Math. Soc-Sim, vol.13, issue.5, pp.971-1005, 2007.

A. W. Lohmann, Synthesis of pattern recognition filters for fractional Fourier processing, Optics Communications, vol.128, issue.4-6, pp.199-204, 1996.
DOI : 10.1016/0030-4018(95)00080-1

J. Long, Fully convolutional networks for semantic segmentation, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.3431-3440, 2015.
DOI : 10.1109/CVPR.2015.7298965

L. Chen, DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.40, issue.4, pp.834-848, 2018.
DOI : 10.1109/TPAMI.2017.2699184

Y. Lecun, Convolutional networks and applications in vision, Proceedings of 2010 IEEE International Symposium on Circuits and Systems, pp.253-256, 2010.
DOI : 10.1109/ISCAS.2010.5537907