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Our transfer learning (TL) techniques enable to adapt the source model using the target data and new categories, without accessing to the source data. Our ...
A Transfer Learning approach for handwritten drug names recognition ,Science hub Mutual Aid community.
Article "A Transfer Learning approach for handwritten drug names recognition" Detailed information of the J-GLOBAL is an information service managed by the ...
In this study, we developed the Drug Label Identification through Image and Text embedding model (DLI-IT) to model text-based patterns of historical data for ...
8 days ago · This paper presents a robust method for extracting medicine names using a combina- tion of Mask R-CNN and Transformer-based Optical Character.
Missing: drug | Show results with:drug
This review paper aims to summarize the research conducted on character recognition for handwritten documents and offer insights into future research ...
This paper proposes an accurate and precise autonomous structure for handwriting recognition using a ShuffleNet convolutional neural network.
Missing: drug | Show results with:drug
An online handwritten recognition system to predict the doctors' handwriting and develop a digital prescription that can reduce medical errors and save ...
8 days ago · This paper presents a robust method for extracting medicine names using a combination of Mask R-CNN and Transformer-based Optical Character ...
Missing: drug | Show results with:drug
This paper proposes an online handwritten recognition system to predict the doctors' handwriting and develop a digital prescription.