Diagnostic Classification of Cervical Cell Images from Pap Smear Slides

Article Properties
Abstract
Cite
Talo, Muhammed. “Diagnostic Classification of Cervical Cell Images from Pap Smear Slides”. Academic Perspective Procedia, vol. 2, no. 3, 2019, pp. 1043-50, https://doi.org/10.33793/acperpro.02.03.116.
Talo, M. (2019). Diagnostic Classification of Cervical Cell Images from Pap Smear Slides. Academic Perspective Procedia, 2(3), 1043-1050. https://doi.org/10.33793/acperpro.02.03.116
Talo, Muhammed. “Diagnostic Classification of Cervical Cell Images from Pap Smear Slides”. Academic Perspective Procedia 2, no. 3 (2019): 1043-50. https://doi.org/10.33793/acperpro.02.03.116.
Talo M. Diagnostic Classification of Cervical Cell Images from Pap Smear Slides. Academic Perspective Procedia. 2019;2(3):1043-50.
Refrences
Title Journal Journal Categories Citations Publication Date
A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images Computer Methods and Programs in Biomedicine
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Medicine: Medicine (General): Medical technology
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 105 2018
Classification of Histopathological Breast Cancer Images using Convolutional Neural Networks

 Fırat Üniversitesi Mühendislik Bilimleri Dergisi 4 2019
10.1109/SIU.2019.8806614
Detection and Classification of Cancer from Microscopic Biopsy Images Using Clinically Significant and Biologically Interpretable Features

 Journal of Medical Engineering 90 2015
10.1109/ICIP.2018.8451588
Citations
Title Journal Journal Categories Citations Publication Date
基于Transformer的宫颈异常细胞自动识别方法 Chinese Journal of Lasers
  • Science: Physics: Optics. Light
 2024
Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 12 2022
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques Computers in Biology and Medicine
  • Science: Biology (General)
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Medicine: Medicine (General): Medical technology
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 94 2021
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science2
Science: Science (General): Cybernetics: Information theory1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
Science: Biology (General)1
Medicine: Medicine (General): Medical technology1
Medicine: Medicine (General): Computer applications to medicine. Medical informatics1
Science: Physics: Optics. Light1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques and was published in 2021. The most recent citation comes from a 2024 study titled 基于Transformer的宫颈异常细胞自动识别方法. This article reached its peak citation in 2024, with 1 citations. It has been cited in 3 different journals. Among related journals, the Chinese Journal of Lasers cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year