Detection of Cervical Cancer Cells in Whole Slide Images Using Deformable and Global Context Aware Faster RCNN-FPN

Detection of Cervical Cancer Cells in Whole Slide Images Using Deformable and Global Context Aware Faster RCNN-FPN

Cervical cancer is a worldwide public health problem with a high rate of illness and mortality among women. In this study, we proposed a novel framework based on Faster RCNN-FPN architecture for the detection of abnormal cervical cells in cytology images from a cancer screening test. We extended the...

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Bibliographic Details
Main Authors: Xia Li, Zhenhao Xu, Xi Shen, Yongxia Zhou, Binggang Xiao, Tie-Qiang Li
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Current Oncology
Subjects:
cervical cancer
Pap smear test
whole slide image (WSI)
feature pyramid network (FPN)
global context aware (GCA)
region based convolutional neural networks (R-CNN)
Online Access:https://www.mdpi.com/1718-7729/28/5/307

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https://www.mdpi.com/1718-7729/28/5/307

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