MJAHMADEE / ARAS_DeepLearning_FW

ARAS-Farabi Experimental Framework for Skill Assessment in Capsulorhexis Surgery: The ARAS-Farabi Framework is designed to facilitate research in the area of skill assessment for Capsulorhexis surgery. This framework utilizes deep learning techniques for real-time performance in detecting and tracking the capsulorhexis cystotome and pupil.

Home Page:https://aras.kntu.ac.ir/

Repository from Github https://github.comMJAHMADEE/ARAS_DeepLearning_FWRepository from Github https://github.comMJAHMADEE/ARAS_DeepLearning_FW

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