Cathworks Ltd.

Avishai Baruch Yaari

Moran Shalhon Livne

Tomer Shapira

Hila Blecher Segev

Ori Ahron Noked Partouche

Partouche Ori Ahron Noked

Segev Hila Blecher

Livne Moran Shalhon

Methods for automated identification of vascular features are described. In some embodiments, one or more machine learning (ML)-based vascular classifiers are used, with their results being combined to with results of at least one other vascular classifier in order to produce the final results. Potentially advantages of this approach include the ability to combine certain strengths of ML classifiers with segmentation approaches based on more classical ('formula-based') methods. These strengths may include particularly the identification of anatomically identified targets mixed within an image also showing similar looking but anatomically distinct targets.

System and method for machine-learning based sensor analysis and vascular tree segmentation

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Hod-HaSharon, Israel

Avishai Baruch Yaari