Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing

Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing

Cervical intraepithelial neoplasia (CIN) and cervical cancer are major health problems faced by women worldwide. The conventional Papanicolaou (Pap) smear analysis is an effective method to diagnose cervical pre-malignant and malignant conditions by analyzing swab images. Various computer vision tec...

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Bibliographic Details
Main Authors: Anant R. Bhatt, Amit Ganatra, Ketan Kotecha
Format: Article
Language:English
Published: PeerJ Inc. 2021-02-01
Series:PeerJ Computer Science
Subjects:
Cervical cytology
Cervical cancer
Transfer learning
Papanicolaou smear
Progressive resizing
Convolution neural network
Online Access:https://peerj.com/articles/cs-348.pdf

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