Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Classification of Non-Tumorous Facial Pigmentation Disorders using Deep Learning and SMOTE.

R. Gao, J. Peng, L. Nguyen, Y. Liang, S. Thng, and Z. Lin. ISCAS, page 1-5. IEEE, (2019)

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.

Yunfeng Hua

Yunfeng Wang

Liang Liang

Yunfeng Liu

Yunfeng Kong

Other publications of authors with the same name

An improved image segmentation method for melasma severity assessment.Y. Liang, Z. Lin, L. Sun, W. Ser, F. Lin, and S. Thng. DSP, page 1-5. IEEE, (2017)Investigating the correlations between IceCube high-energy neutrinos and Fermi-LAT gamma-ray observationsRongLan-Li, BenYang-Zhu, and YunFeng-Liang. (2022)cite arxiv:2205.15963Comment: 11pages,5figures.Classification of Non-Tumorous Facial Pigmentation Disorders Using Improved Smote and Transfer Learning.J. Peng, R. Gao, L. Nguyen, Y. Liang, S. Thng, and Z. Lin. ICIP, page 220-224. IEEE, (2019)Document image binarization via optimized hybrid thresholding.Y. Liang, Z. Lin, L. Sun, and J. Cao. ISCAS, page 1-4. IEEE, (2017)Hybrid threshold optimization between global image and local regions in image segmentation for melasma severity assessment.Y. Liang, L. Sun, W. Ser, F. Lin, E. Tay, E. Gan, S. Thng, and Z. Lin. Multidimens. Syst. Signal Process., 28 (3): 977-994 (2017)A per-pixel noise detection approach for example-based photometric stereo.Y. Liang, H. Yang, and H. Zhang. Comput. Graph., (2015)Classification of non-tumorous skin pigmentation disorders using voting based probabilistic linear discriminant analysis.Y. Liang, L. Sun, W. Ser, F. Lin, S. Thng, Q. Chen, and Z. Lin. Comput. Biol. Medicine, (2018)Reaction-diffusion based level set method with local entropy thresholding for melasma image segmentation.X. Zhang, Y. Liang, D. Lin, Z. Lin, S. Thng, E. Gan, and E. Tay. ICARCV, page 1-5. IEEE, (2016)Classification of Non-Tumorous Facial Pigmentation Disorders using Deep Learning and SMOTE.R. Gao, J. Peng, L. Nguyen, Y. Liang, S. Thng, and Z. Lin. ISCAS, page 1-5. IEEE, (2019)

BibSonomy

Disambiguation of "Liang, Yunfeng"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Classification of Non-Tumorous Facial Pigmentation Disorders using Deep Learning and SMOTE.

Please choose a person to relate this publication to

Yunfeng Hua

Yunfeng Wang

Liang Liang

Yunfeng Liu

Yunfeng Kong

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Liang, Yunfeng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Classification of Non-Tumorous Facial Pigmentation Disorders using Deep Learning and SMOTE.

Please choose a person to relate this publication to

Yunfeng Hua

Yunfeng Wang

Liang Liang

Yunfeng Liu

Yunfeng Kong

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Classification of Non-Tumorous Facial Pigmentation Disorders using Deep Learning and SMOTE.