Segmentation and classification of ovarian cancer based on conditional adversarial image to image translation approach

Author:

Kodipalli Ashwini12ORCID,Devi Susheela1,Dasar Santosh3,Ismail Taha3

Affiliation:

1. Department of Computer Science and Automation Indian Institute of Science Bangalore Karnataka India

2. Global Academy of Technology Bangalore Karnataka India

3. Department of Radiology SDM College of Medical Sciences and Hospital Dharwad Karnataka India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference45 articles.

1. Evolutionary algorithm‐based classifier parameter tuning for automatic ovarian cancer tissue characterization and classification;Acharya U. R.;Ultraschall in der Medizin‐European Journal of Ultrasound,2014

2. Effect of complex wavelet transform filter on thyroid tumor classification in three‐dimensional ultrasound;Acharya U. R.;Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine,2013

3. An experimental research in health informatics for enhancing ovarian cancer identification in ovarian imaging analysis using fuzzy histogram equalization;Ahmad M.;Journal of Medical Imaging and Health Informatics,2017

4. Artificial intelligence in ovarian cancer diagnosis;Akazawa M.;Anticancer Research,2020

5. Generative adversarial networks for brain lesion detection;Alex V.;SPIE,2017

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