iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network

30 Nov 2018Guilherme ArestaColin JacobsTeresa AraújoAntónio CunhaIsabel RamosBram van GinnekenAurélio Campilho

We propose iW-Net, a deep learning model that allows for both automatic and interactive segmentation of lung nodules in computed tomography images. iW-Net is composed of two blocks: the first one provides an automatic segmentation and the second one allows to correct it by analyzing 2 points introduced by the user in the nodule's boundary... (read more)

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