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