Lymphedema tissue analysis using optical imaging and gradient processing

Last years the development of computer-aided diagnostic systems for medical image analysis has become a hot topic. A key step is connected with informative features extraction. Here, we discussed multiphoton microscopy and optical coherent tomography lymphedema tissue images analysis using gradient processing methods.

[1]  L. Ward Early diagnosis in latent phase , 2011 .

[2]  L. Ward,et al.  Quantitative bioimpedance spectroscopy for the assessment of lymphoedema , 2009, Breast Cancer Research and Treatment.

[3]  Karsten König,et al.  Clinical multiphoton tomography and clinical two-photon microendoscopy , 2009, BiOS.

[4]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Jitendra Malik,et al.  Contour and Texture Analysis for Image Segmentation , 2001, International Journal of Computer Vision.

[6]  R. Skoracki,et al.  A comprehensive overview on the surgical management of secondary lymphedema of the upper and lower extremities related to prior oncologic therapies , 2017, BMC Cancer.

[7]  A. G. Warren,et al.  Lymphedema: A Comprehensive Review , 2007, Annals of plastic surgery.

[8]  M. Karlsson,et al.  Breast cancer-related chronic arm lymphedema is associated with excess adipose and muscle tissue. , 2009, Lymphatic research and biology.

[9]  H. Svensson,et al.  Liposuction reduces arm lymphedema without significantly altering the already impaired lymph transport. , 1998, Lymphology.

[10]  A. Madabhushi,et al.  Histopathological Image Analysis: A Review , 2009, IEEE Reviews in Biomedical Engineering.

[11]  S. Rockson,et al.  Lymphedema , 2018, Springer International Publishing.

[12]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[13]  N. Kanopoulos,et al.  Design of an image edge detection filter using the Sobel operator , 1988, IEEE J. Solid State Circuits.