Interpreting Doctor’s Handwritten Prescription Using Deep Learning Techniques
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1624-5_31
Reference23 articles.
1. Jain T, Sharma R, Malhotra R (2021) Handwriting recognition for medical prescriptions using a CNN-Bi-LSTM model. In: 2021 6th International conference for convergence in technology (I2CT), pp 1–4 (T. Jain, 2021)
2. Tabassum et al. S (2021) Recognition of doctors’ cursive handwritten medical words by using bidirectional LSTM and SRP data augmentation. In: 2021 IEEE technology & engineering management conference—Europe (TEMSCON-EUR), pp 1–6
3. Fajardo LJ et al. (2019) Doctor’s cursive handwriting recognition system using deep learning. In: 2019 IEEE 11th International conference on humanoid, nanotechnology, ınformation technology, communication and control, environment, and management (HNICEM), pp 1–6
4. Maalej R, Kherallah M (2022) New MDLSTM-based designs with data augmentation for offline Arabic handwriting recognition. Multimed Tools Appl 81:10243–10260
5. Alrobah N, Albahli S (2022) Arabic handwritten recognition using deep learning: a survey. Arab J Sci Eng 47:9943–9963
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