Pengfei Diao
Ph.d.-studerende
Machine Learning
Universitetsparken 1, 2100 København Ø
- Udgivet
Automated texture scoring for assessing breast cancer masking risk in full field digital mammography
Kallenberg, M. G. J., Petersen, P. K., Lillholm, Martin, Jørgensen, D. R., Diao, Pengfei, Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, I : Insights into Imaging. 6, 1, Supplement, 1 s., B-0212.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- Udgivet
Assessing breast cancer masking risk in full field digital mammography with automated texture analysis
Kallenberg, M. G. J., Lillholm, Martin, Diao, Pengfei, Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, 7th International Workshop on Breast Densitometry and Cancer Risk Assessment (Non-CME). University of California, s. 109 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings
- Udgivet
Assessing breast cancer masking risk with automated texture analysis in full field digital mammography
Kallenberg, M. G. J., Lillholm, Martin, Diao, Pengfei, Petersen, K., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, Breast Imaging and Interventional. Radiological Society of North America, Inc, s. 218 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings
- Udgivet
Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring
Kallenberg, M. G. J., Petersen, P. K., Nielsen, Mads, Ng, A. Y., Diao, Pengfei, Igel, Christian, Vachon, C. M., Holland, K., Winkel, R. R., Karssemeijer, N. & Lillholm, Martin, 2016, I : IEEE Transactions on Medical Imaging. 35, 5, s. 1322-1331 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Breast tissue segmentation and mammographic risk scoring using deep learning
Petersen, P. K., Nielsen, Mads, Diao, Pengfei, Karssemeijer, N. & Lillholm, Martin, 2014, Breast imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings. Fujita, H., Hara, T. & Muramatsu, C. (red.). Springer Science+Business Media, s. 88-94 7 s. (Lecture notes in computer science, Bind 8539).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings
- Udgivet
Inter-observer agreement according to three methods of evaluating mammographic density and parenchymal pattern in a case control study: impact on relative risk of breast cancer
Winkel, R. R., von Euler-Chelpin, My Catarina, Nielsen, Mads, Diao, Pengfei, Nielsen, Michael Bachmann, Uldall, W. Y. & Vejborg, I. M. M., 2015, I : BMC Cancer. 15, 14 s., 274.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Risk stratification of women with false-positive test results in mammography screening based on mammographic morphology and density: a case control study
Winkel, R. R., von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Diao, Pengfei, Lillholm, Martin, Kallenberg, M., Forman, Julie Lyng, Nielsen, Michael Bachmann, Uldall, W. Y., Nielsen, Mads & Vejborg, I. M. M., aug. 2017, I : Cancer Epidemiology. 49, s. 53-60 8 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
ID: 51191698
Flest downloads
-
212
downloads
Inter-observer agreement according to three methods of evaluating mammographic density and parenchymal pattern in a case control study: impact on relative risk of breast cancer
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet