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Ovary

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Automated classification of multiphoton microscopy images of ovarian tissue using deep learning.

Journal of biomedical optics
Histopathological image analysis of stained tissue slides is routinely used in tumor detection and classification. However, diagnosis requires a highly trained pathologist and can thus be time-consuming, labor-intensive, and potentially risk bias. He...

Ovarian Function Recovery During Anastrozole in Breast Cancer Patients With Chemotherapy-Induced Ovarian Function Failure.

Journal of the National Cancer Institute
BACKGROUND: Aromatase inhibitors (AIs) are given as adjuvant therapy for hormone receptor-positive breast cancer in postmenopausal women, also to those with chemotherapy-induced ovarian function failure. The current analysis reports on endocrine data...

Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data.

PloS one
Medical diagnostics is often a multi-attribute problem, necessitating sophisticated tools for analyzing high-dimensional biomedical data. Mining this data often results in two crucial bottlenecks: 1) high dimensionality of features used to represent ...

[Serous cystadenoma in supernumerary ovary. Case report and literature review].

Ginecologia y obstetricia de Mexico
BACKGROUND: The ovaries accessories, ectopic and supernumerary represent a rare gynecological disorder; incidence ranges from 129,000 to 1:700,000 cases.

Tuning to optimize SVM approach for assisting ovarian cancer diagnosis with photoacoustic imaging.

Bio-medical materials and engineering
Support vector machine (SVM) is one of the most effective classification methods for cancer detection. The efficiency and quality of a SVM classifier depends strongly on several important features and a set of proper parameters. Here, a series of cla...