Self-supervised learning framework for efficient classification of endoscopic images using pretext tasks

Open Access

Peer-reviewed

Research Article

About the Authors

Shima Ayyoubi Nezhad

Roles Conceptualization, Data curation, Methodology, Resources, Software, Writing – original draft, Writing – review & editing

Affiliation School of Industrial and Systems Engineering, Tarbiat Modares University (TMU), Tehran, Iran

Golnaz Tajeddin

Roles Conceptualization, Methodology, Supervision

Affiliation School of Industrial and Systems Engineering, Tarbiat Modares University (TMU), Tehran, Iran

Toktam Khatibi

Roles Conceptualization, Methodology, Supervision, Validation

Affiliation School of Industrial and Systems Engineering, Tarbiat Modares University (TMU), Tehran, Iran

Masoudreza Sohrabi

Roles Data curation, Supervision, Validation

Affiliation Gastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran

The authors have declared that no competing interests exist.

Endoscopy
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Learning
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Imaging techniques
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Magnetic resonance imaging
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Decision making
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Attention
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Machine learning
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Ultrasound imaging
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