Results 31 to 40 of about 229,435 (354)
Animal Cells and Systems, 2021 Endometrial cancer is the most common gynecological cancer in the developed countries. Type II transmembrane serine proteases 4 (TMPRSS4) is a newly discovered transmembrane protein, which may be related to the invasion, metastasis of the tumor and the ...
Huan Xiao +4 more
doaj +1 more source
Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer [PDF]
arXiv, 2023 Endometrial cancer, the fourth most common cancer in females in the United States, with the lifetime risk for developing this disease is approximately 2.8% in women. Precise histologic evaluation and molecular classification of endometrial cancer is important for effective patient management and determining the best treatment modalities.
arxiv
iScience, 2023 Summary: To detect novel endometrial cancer risk variants, we leveraged information from endometrial cancer risk factors in a multi-trait GWAS analysis.
Xuemin Wang +13 more
doaj
Risk Factors for Endometrial Lesions Detected by Hysteroscopy in Breast Cancer Patients Taking Tamoxifen [PDF]
Zhongguo quanke yixue, 2023 Background Breast cancer has become the most common malignant tumor threatening the health of Chinese women in recent years. The use of tamoxifen (TAM) has successfully reduced the recurrence and progression of estrogen receptor-positive breast cancer ...
LI Yujing, JIN Yichao, CHEN Xing, JI Mengying, DAI Huihua
doaj +1 more source
Metformin as a Therapeutic Target in Endometrial Cancers. [PDF]
, 2018 Endometrial cancer is the most common gynecologic malignancy in developed countries. Its increasing incidence is thought to be related in part to the rise of metabolic syndrome, which has been shown to be a risk factor for the development of ...
Johnson, Jennifer +6 more
core +2 more sources
Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach [PDF]
arXiv, 2023 Assessing the pre-operative risk of lymph node metastases in endometrial cancer patients is a complex and challenging task. In principle, machine learning and deep learning models are flexible and expressive enough to capture the dynamics of clinical risk assessment.
arxiv
Multivariate saddlepoint approximations in tail probability and conditional inference [PDF]
Bernoulli 2010, Vol. 16, No. 4, 1191-1207, 2010 We extend known saddlepoint tail probability approximations to multivariate cases, including multivariate conditional cases. Our approximation applies to both continuous and lattice variables, and requires the existence of a cumulant generating function.
arxiv +1 more source
Survival outcome in endometrial cancer patients according to hereditary predisposition
Taiwanese Journal of Obstetrics & Gynecology, 2015 Objective: A familial history of ovarian cancer/breast cancer is considered a significant prognostic factor for ovarian cancer. We investigated hereditary factors by examining the incidence of synchronous malignancy in patients with endometrial cancer ...
Heon Jong Yoo +7 more
doaj +1 more source
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions [PDF]
arXiv, 2023 Endometrial cancer is one of the most common tumors in the female reproductive system and is the third most common gynecological malignancy that causes death after ovarian and cervical cancer. Early diagnosis can significantly improve the 5-year survival rate of patients.
arxiv
Chinese Medical Journal, 2021 . Background. Endometrial cancer is one of the most common malignancies of the reproductive system. Effective and cost-effective screening method for populations at high risk is not available.
Guo Zhang +8 more
doaj +1 more source