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Artificial Intelligence in Andrology: from Semen Analysis to Image Diagnostics

Ramy Abou Ghayda,Rossella Cannarella,Aldo E. Calogero,Rupin Shah,Amarnath Rambhatla,Wael Zohdy,Parviz Kavoussi,Tomer Avidor-Reiss,Florence Boitrelle,Taymour Mostafa,Ramadan Saleh,Tuncay Toprak,Ponco Birowo,Gianmaria Salvio,Gokhan Calik,Shinnosuke Kuroda,Raneen Sawaid Kaiyal,Imad Ziouziou,Andrea Crafa,Nguyen Ho Vinh Phuoc,Giorgio I. Russo,Damayanthi Durairajanayagam,Manaf Al-Hashimi,Taha Abo-Almagd Abdel-Meguid Hamoda,Germar-Michael Pinggera,Ricky Adriansjah,Israel Maldonado Rosas,Mohamed Arafa,Eric Chung,Widi Atmoko,Lucia Rocco,Haocheng Lin,Eric Huyghe,Priyank Kothari,Jesus Fernando Solorzano Vazquez,Fotios Dimitriadis,Nicolas Garrido,Sheryl Homa,Marco Falcone,Marjan Sabbaghian,Hussein Kandil,Edmund Ko,Marlon Martinez,Quang Nguyen,Ahmed M. Harraz,Ege Can Serefoglu,Vilvapathy Senguttuvan Karthikeyan,Dung Mai BaTien,Sunil Jindal,Sava Micic, Marina Bellavia,Hamed Alali,Nazim Gherabi,Sheena Lewis,Hyun Jun Park,Mara Simopoulou,Hassan Sallam,Liliana Ramirez,Giovanni Colpi,Ashok Agarwal

The World Journal of Men's Health（2024）

Cited 13|Views8
Key words
Artificial intelligence,Andrology,Deep learning,Diagnostic imaging,Machine learning,Neural networks,computer
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