Cervical cancer classification from Pap-smears using an enhanced fuzzy C-means algorithm-Reference-Cited by-同舟云学术

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Cervical cancer classification from Pap-smears using an enhanced fuzzy C-means algorithm

Published:2019 Issue: Volume:14 Page:23-33
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

William Wasswa,Ware Andrew,Basaza-Ejiri Annabella Habinka,Obungoloch Johnes

Funder

Mbarara Regional Referral Hospital Cancer Prevention Unit

African Development Bank and the Commonwealth Scholarship Commission

African Development Bank- HEST project

Commonwealth Scholarship Commission

University of Strathclyde

Publisher

Elsevier BV

Subject

Health Informatics

Reference83 articles.

1. Global cancer statistics, 2012;Torre;CA A Cancer J Clin,2015

2. Global cancer statistics;Jemal;Ca - Cancer J Clin,2011

3. Cervical cancer screening and treatment in Uganda;Nakisige;Gynecol Oncol Rep,2017

4. Comparison of conventional cervical cytology versus visual inspection with acetic acid among human immunodeficiency virus-infected women in Western Kenya;Mabeya;J Low Genit Tract Dis,2012

5. A review of image analysis and machine learning techniques for automated cervical cancer screening from Pap smear images;William;Comput Methods Progr Biomed,2018

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1. Automated innovation and impact;Science;2024-04-05

2. Improving cervical cancer classification in PAP smear images with enhanced segmentation and deep progressive learning‐based techniques;Diagnostic Cytopathology;2024-03-22

3. Segmentation and Classification Techniques for Pap Smear Images in Detecting Cervical Cancer: A Systematic Review;IEEE Access;2024

4. Cervical cancer classification based on a bilinear convolutional neural network approach and random projection;Engineering Applications of Artificial Intelligence;2024-01

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