Ece Işık Polat

E-mail

eceisik@metu.edu.tr

Department

Graduate School of Informatics

ORCID

0000-0002-0728-5390

Web of Science Researcher ID

ABA-3097-2020

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge Ali, Sharib; et. al. (2024-12-01) Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, appearance, and location makes the detection of polyps challenging. Moreover, colonoscopy surveillance and removal of p...
ARFED: Attack-Resistant Federated averaging based on outlier elimination Işık Polat, Ece; Polat, Gorkem; Koçyiğit, Altan (2023-04-01) In federated learning, each participant trains its local model with its own data and a global model is formed at a trusted server by aggregating model updates coming from these participants. Since the server has no effect ...
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation Polat, Görkem; Işık Polat, Ece; Koçyiğit, Altan; Temizel, Alptekin (2021-9-27) Availability of large, diverse, and multi-national datasets is crucial for the development of effective and clinically applicable AI systems in the medical imaging domain. However, forming a global model by bringing these ...
Polyp Detection in Colonoscopy Images using Deep Learning and Bootstrap Aggregation Polat, Görkem; Işık Polat, Ece; Kayabay, Kerem; Temizel, Alptekin (2021-4-13) Computer-aided polyp detection is playing an increasingly more important role in the colonoscopy procedure. Although many methods have been proposed to tackle the polyp detection problem, their out-of-distribution test res...

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