Author of the publication

Segmentation of light and dark hair in dermoscopic images: a hybrid approach using a universal kernel.

, , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 76234N. SPIE, (2010)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Detection and Analysis of Irregular Streaks in Dermoscopic Images of Skin Lesions., , , , and . IEEE Trans. Med. Imaging, 32 (5): 849-861 (2013)Global pattern analysis and classification of dermoscopic images using textons., , , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 83144X. SPIE, (2012)Tree Structured Model of Skin Lesion Growth Pattern via Color Based Cluster Analysis., , and . MLMI, volume 7009 of Lecture Notes in Computer Science, page 291-299. Springer, (2011)Determining the Asymmetries of Skin Lesions with Fuzzy Borders., , and . BIBE, page 223-230. IEEE Computer Society, (2003)Generalizing Common Tasks in Automated Skin Lesion Diagnosis., , , , and . IEEE Trans. Information Technology in Biomedicine, 15 (4): 622-629 (2011)Indentation and Protrusion Detection and Its Applications., , and . Scale-Space, volume 2106 of Lecture Notes in Computer Science, page 335-343. Springer, (2001)Segmentation of light and dark hair in dermoscopic images: a hybrid approach using a universal kernel., , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 76234N. SPIE, (2010)Automatic detection and segmentation of vascular structures in dermoscopy images using a novel vesselness measure based on pixel redness and tubularness., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94143M. SPIE, (2015)Automatic detection of translucency using a deep learning method from patches of clinical basal cell carcinoma images., , , , , and . APSIPA, page 685-688. IEEE, (2018)Computer-aided detection of basal cell carcinoma through blood content analysis in dermoscopy images., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750O. SPIE, (2018)