A decision support system for the detection of cutaneous fungal infections using artificial intelligence
Naama Rappoport, Gil Goldinger, Assaf Debby, Yosef Molchanov, Yoash Barak, Jacob Gildenblat, Ofir Hadar, Chen Sagiv, Aviv Barzilai
Naama Rappoport, Gil Goldinger, Assaf Debby, Yosef Molchanov, Yoash Barak, Jacob Gildenblat, Ofir Hadar, Chen Sagiv, Aviv Barzilai
Jacob Gildenblat, Anil Yüce, Samaneh Abbasi-Sureshjani & Konstanty Korski
The DeePathology® STUDIO offers AI-based and classical features-based solutions, including Random Forest. Check out this video to learn more about how Random Forests are utilized
You already know that you can easily generate new and innovative building blocks for detecting cells and regions with the DeePathology® STUDIO. Now, with the
With DeePathology® STUDIO, you can know EVERYTHING about each cell in your WSI! Watch the video to learn how to obtain average values of attributes
Prof. Iris Barshack presented our joint work on “A Decision Support System for the Detection of Cutaneous Fungal Infections using AI” at BioMed24. Through the
We are thrilled and hope that you are, too! After more than two years, we are finally ready to venture out and attend in-person conferences
Dr. Chen Sagiv, DeePathology’s co-founder and co-CEO, spoke with Michael Matias for his series 20-Minute Leaders, an interview series that presents founders, innovators and thought
Check out the fantastic program of COMPAY 21, the third MICCAI workshop on Computational Pathology. Dr. Chen Sagiv, DeePathology co founder and co CEO, will
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