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Through automation, deep learning (DL) can enhance the analysis of transesophageal echocardiography (TEE) images. However, DL methods require large amounts of high-quality data to produce accurate results, which is difficult to satisfy. Data augmenta
Externí odkaz:
http://arxiv.org/abs/2410.06781
Autor:
Egejuru, Winner Amaka, Aderemi, Olajide Enoch, Egbemhenghe, Abel Ujaigbe, Ali, Muhammad Qasim, Opasina, Dolapo Emmanuel, Agadagba, Cyril Obaro, Oladokun, Emmanuel Parkay, Abdulrazaq, Ibrahim Tope, Ayinla, Maryam Folake, Bamidele, Abiodun, Alayemi, Olamide Oluwagbeminiyi, Adebowale, Latifat Akorede, Adebayo, Folakemi Monsurat, Omotara, Bamidele Samson
Publikováno v:
In Informatics in Medicine Unlocked 2024 46
