Deep Learning Approach for Classifying Papanicolau Cervical Smears-Reference-Cited by-同舟云学术

Deep Learning Approach for Classifying Papanicolau Cervical Smears

Published:2018-08-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 47th International Conference on Parallel Processing Companion
language:
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Author:

Martínez-Más José¹,Bueno-Crespo Andrés²,Imbernón Baldomero²,Cecilia José M.²,Martínez-España Raquel²,Remezal-Solano Manuel³,Sánchez-Espinosa Alberto⁴,Ortiz-Reina Sebastián⁴,Martínez-Cendán Juan-Pedro³

Affiliation:

1. Virgen de la Arrixaca University Clinic Hospital, Dept. of Obstetrics and Gynecology, Murcia, Spain

2. Universidad Católica de Murcia (UCAM), Murcia, Spain

3. Santa Lucía University Hospital, Dept. of Obstetrics and Gynecology, Cartagena, Spain

4. Santa Lucía University Hospital, Dept. of Pathology, Cartagena, Spain

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3229710.3229732

Reference21 articles.

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2. Quality Control of the Autopap Screening System Employed as a Primary Screening Device: Rapid Review of Smears Coded as no Further Review

3. Deborah J Chute Harumi Lim and Christina S Kong. 2010. BD focalpoint slide profiler performance with atypical glandular cells on SurePath Papanicolaou smears. Cancer cytopathology 118 2 (2010) 68--74. Deborah J Chute Harumi Lim and Christina S Kong. 2010. BD focalpoint slide profiler performance with atypical glandular cells on SurePath Papanicolaou smears. Cancer cytopathology 118 2 (2010) 68--74.

4. A feasibility study of the use of the AutoPap screening system as a primary screening and location-guided rescreening device

5. Andre Esteva Brett Kuprel Roberto A Novoa Justin Ko Susan M Swetter Helen M Blau and Sebastian Thrun. 2017. Dermatologist-level classification of skin cancer with deep neural networks. Nature 542 7639 (2017) 115. Andre Esteva Brett Kuprel Roberto A Novoa Justin Ko Susan M Swetter Helen M Blau and Sebastian Thrun. 2017. Dermatologist-level classification of skin cancer with deep neural networks. Nature 542 7639 (2017) 115.

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