Endometrial cancer in women with abnormal uterine bleeding: Data mining classification methods
Background: Over the last decade, artificial intelligence in medicine has been growing. Since endometrial cancer can be treated with early diagnosis, finding a non-invasive method for screening patients, especially high-risk ones, could have a particular value. Regarding the importance of this issue...
Saved in:
Main Authors: | Farah Farzaneh (Author), Azadeh Jafari Ashtiani (Author), Mohammad Mohammad Hashemi (Author), Maryam Sadat Hosseini (Author), Maliheh Arab (Author), Tahereh Ashrafganjoei (Author), Shaghayegh Hooshmand Chayjan (Author) |
---|---|
Format: | Book |
Published: |
Babol University of Medical Sciences,
2023-05-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Diagnostic role of papanicolaou smear, hemoglobin, blood group, and other clinical symptoms in detecting endometrial carcinoma: A clinicopathological study of 175 Iranian women with endometrial carcinoma
by: Maryam Sadat Hosseini, et al.
Published: (2020) -
Screening of Lynch syndrome in endometrial cancer in Iranian population with mismatch repair protein by immunohistochemistry
by: Somayyeh Noei Teymoordash, et al.
Published: (2022) -
Diagnostic value of saline contrast sonohysterography comparing with hysteroscopy for detecting endometrial abnormalities in women with abnormal uterine bleeding
by: Farzaneh Goharzad, et al.
Published: (2011) -
Abnormal Uterine Bleeding- evaluation by Endometrial Aspiration
by: Pratibha Singh
Published: (2018) -
Comparison of Ki67 index and P16 expression in different grades of cervical squamous intraepithelial lesions
by: Maryam Sadat Hosseini, et al.
Published: (2023)