Search Results for author: Furkan Kaynar

Found 2 papers, 1 papers with code

Remote Task-oriented Grasp Area Teaching By Non-Experts through Interactive Segmentation and Few-Shot Learning

1 code implementation • 17 Mar 2023 • Furkan Kaynar, Sudarshan Rajagopalan, Shaobo Zhou, Eckehard Steinbach

We receive grasp area demonstrations for a new task via interactive segmentation, and learn from these few demonstrations to estimate the required grasp area on an unseen scene for the given task.

Few-Shot Learning Interactive Segmentation +1

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Finding and Following of Honeycombing Regions in Computed Tomography Lung Images by Deep Learning

no code implementations • 31 Oct 2018 • Emre Eğriboz, Furkan Kaynar, Songül Varlı Albayrak, Benan Müsellim, Tuba Selçuk

The purpose of this project is to design a tool that will help specialists diagnose and follow up the IPF disease by identifying areas of honeycombing and ground glass patterns in High Resolution Computed Tomography (HRCT) lung images.

Computed Tomography (CT) Decision Making

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