Non-invasive diagnosis of endometriosis: using machine learning instead of the operating room
Publication
, Conference
Shaia, KL; Acharya, CR; Smeltzer, S; Lyerly, HK; Acharya, KS
Published in: Fertility and Sterility
September 2019
Duke Scholars
Published In
Fertility and Sterility
DOI
ISSN
0015-0282
Publication Date
September 2019
Volume
112
Issue
3
Start / End Page
e80 / e80
Publisher
Elsevier BV
Related Subject Headings
- Obstetrics & Reproductive Medicine
- 3215 Reproductive medicine
- 1117 Public Health and Health Services
- 1114 Paediatrics and Reproductive Medicine
- 1103 Clinical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Shaia, K. L., Acharya, C. R., Smeltzer, S., Lyerly, H. K., & Acharya, K. S. (2019). Non-invasive diagnosis of endometriosis: using machine learning instead of the operating room. In Fertility and Sterility (Vol. 112, pp. e80–e80). Elsevier BV. https://doi.org/10.1016/j.fertnstert.2019.07.331
Shaia, Kathryn L., Chaitanya R. Acharya, Stephanie Smeltzer, Herbert K. Lyerly, and Kelly S. Acharya. “Non-invasive diagnosis of endometriosis: using machine learning instead of the operating room.” In Fertility and Sterility, 112:e80–e80. Elsevier BV, 2019. https://doi.org/10.1016/j.fertnstert.2019.07.331.
Shaia KL, Acharya CR, Smeltzer S, Lyerly HK, Acharya KS. Non-invasive diagnosis of endometriosis: using machine learning instead of the operating room. In: Fertility and Sterility. Elsevier BV; 2019. p. e80–e80.
Shaia, Kathryn L., et al. “Non-invasive diagnosis of endometriosis: using machine learning instead of the operating room.” Fertility and Sterility, vol. 112, no. 3, Elsevier BV, 2019, pp. e80–e80. Crossref, doi:10.1016/j.fertnstert.2019.07.331.
Shaia KL, Acharya CR, Smeltzer S, Lyerly HK, Acharya KS. Non-invasive diagnosis of endometriosis: using machine learning instead of the operating room. Fertility and Sterility. Elsevier BV; 2019. p. e80–e80.
Published In
Fertility and Sterility
DOI
ISSN
0015-0282
Publication Date
September 2019
Volume
112
Issue
3
Start / End Page
e80 / e80
Publisher
Elsevier BV
Related Subject Headings
- Obstetrics & Reproductive Medicine
- 3215 Reproductive medicine
- 1117 Public Health and Health Services
- 1114 Paediatrics and Reproductive Medicine
- 1103 Clinical Sciences