Artificial Intelligence Systems as Prognostic and Predictive Tools in Ovarian Cancer
Author:
Publisher
Springer Science and Business Media LLC
Subject
Oncology,Surgery
Link
http://link.springer.com/content/pdf/10.1245/s10434-015-4475-6.pdf
Reference24 articles.
1. ESMO Minimum clinical recommendations for diagnosis, treatment, and follow-up of ovarian cancer. Ann Oncol. 2001;12:1205–7.
2. Thigpen T, et al. Age as a prognostic factor in ovarian carcinoma. Cancer. 1993;71:606–14.
3. Benedet J, et al. FIGO staging classifications and clinical practice gudelines in the management of gynecologic cancers. Int J Gynecol Obstet. 2000;70:209–62.
4. van Houwelingen J, et al. Predictability of the survival of patients with advanced ovarian cancer. J Clin Oncol. 1989;7:769–73.
5. Makar AP, et al. The prognostic significance of residual disease, FIGO substage, tumor histology, and grade in patients with FIGO stage III ovarian cancer. Gynecol Oncol. 1995;56:175–80.
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