Automatic Spelling Correction in Persian Sonography Text with Neural Networks

Background and Aim: Medical reports and electronic health records are critically important for diagnosis, treatment, patient protection, and medical research. Correcting spelling errors in medical texts is essential to ensure accurate interpretation of information. This research was conducted to aut...

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Asıl Yazarlar: Seyed Mohammad Sadegh Dashti (Yazar), Amid Khatibi Bardsiri (Yazar), Mehdi Jafari Shahbazzadeh (Yazar)
Materyal Türü: Kitap
Baskı/Yayın Bilgisi: Tehran University of Medical Sciences, 2024-03-01T00:00:00Z.
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