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Uterine Cervical Neoplasms

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Effect of Specimen Processing Technique on Cell Detection and Classification by Artificial Intelligence.

American journal of clinical pathology
OBJECTIVES: Cytomorphology is known to differ depending on the processing technique, and these differences pose a problem for automated diagnosis using deep learning. We examined the as-yet unclarified relationship between cell detection or classific...

Robot-Assisted Hysterectomy for Primary Choriocarcinoma of the Cervix - A Novel Approach.

Chirurgia (Bucharest, Romania : 1990)
The incidence of ectopic choriocarcinoma with primary localization in the uterine cervix is extremely low, with less than hundred cases reported in the English language literature to date. We present a case of primary cervical choriocarcinoma in a 41...

Direct Dose Prediction With Deep Learning for Postoperative Cervical Cancer Underwent Volumetric Modulated Arc Therapy.

Technology in cancer research & treatment
PURPOSE: To predict the voxel-based dose distribution for postoperative cervical cancer patients underwent volumetric modulated arc therapy using deep learning models.

Segmentation of Clinical Target Volume From CT Images for Cervical Cancer Using Deep Learning.

Technology in cancer research & treatment
Segmentation of clinical target volume (CTV) from CT images is critical for cervical cancer brachytherapy, but this task is time-consuming, laborious, and not reproducible. In this work, we aim to propose an end-to-end model to segment CTV for cervi...

A deep learning-based method for cervical transformation zone classification in colposcopy images.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Colposcopy is one of the common methods of cervical cancer screening. The type of cervical transformation zone is considered one of the important factors for grading colposcopic findings and choosing treatment.

SVM classifier of cervical histopathology images based on texture and morphological features.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Cervical histopathology image classification is a crucial indicator in cervical biopsy results.

Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up.

Studies in health technology and informatics
Cancer screening and timely follow-up of abnormal results can reduce mortality. One barrier to follow-up is the failure to identify abnormal results. While EHRs have coded results for certain tests, cancer screening results are often stored in free-t...

Segmentation of acetowhite region in uterine cervical image based on deep learning.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Acetowhite (AW) region is a critical physiological phenomenon of precancerous lesions of cervical cancer. An accurate segmentation of the AW region can provide a useful diagnostic tool for gynecologic oncologists in screening cervical can...