Mammary Cytology Images Analysis

Master's thesis

Haddag A.
University of Sciences and Technology Oran - Mohamed Boudiaf, Oran, Algeria, 2020 Nov 3

Cite

APA Click to copy
A., H. (2020, November 3). Mammary Cytology Images Analysis (Master's thesis). University of Sciences and Technology Oran - Mohamed Boudiaf, Oran, Algeria.

Chicago/Turabian Click to copy
A., Haddag. “Mammary Cytology Images Analysis.” Master's thesis, University of Sciences and Technology Oran - Mohamed Boudiaf, 2020.

MLA Click to copy
A., Haddag. Mammary Cytology Images Analysis. University of Sciences and Technology Oran - Mohamed Boudiaf, 3 Nov. 2020.

BibTeX Click to copy

@mastersthesis{haddag2020a,
  title = {Mammary Cytology Images Analysis},
  year = {2020},
  month = nov,
  day = {3},
  address = {Oran, Algeria},
  school = {University of Sciences and Technology Oran - Mohamed Boudiaf},
  author = {A., Haddag},
  howpublished = {Print and Digital},
  month_numeric = {11}
}

Abstract

This work is about mammary cytology images analysis, we attempted to implement both segmentation and classification using hybrid computing of neuro-fuzzy systems in conjunction with ACO. The purpose of the research was to introduce a novel process for mammary cytology images analysis.

Keywords: breast cancer, cytology, image processing, fuzzy logic, artificial neural networks, deep learning, hybrid computing, neuro-fuzzy systems, pattern recognition.