This paper proposes an ensemble classifier of CNN base learners. Intensive experiments are done using an open-source medical imaging dataset.

Apr 2, 2024 · PDF | On Aug 29, 2023, Efosa Osagie and others published Ensemble Learning for Medical Image Character Recognition based on Enhanced Lenet-5 ...

This study introduces an enhanced CNN model motivated by the classical Lenet-5 model. The enhanced model is optimised using Bayesian reasoning. The Lenet-5 uses ...

This study introduces an enhanced CNN model inspired by the Lenet-5 classical OCR model for the task of medical image character recognition. The enhanced CNN ...

An enhanced CNN model for medical image character recognition (MICR) with an ensemble classifier of CNN base learners is proposed, showing a 10% increase in ...

By using Deep Neural Networks (DNN), AI-based automated segmentation algorithms can potentially assist physicians with more effective imaging-based diagnoses.

... Ensemble learning for medical image character recognition based on enhanced lenet-5. In: 2023 IEEE Conference on Computational Intelligence in ...

Missing: Ensemble Character

In this work, ensemble bionic machine learning model is proposed for the classification of Parkinson's disease (PD) from healthy controls using MR images.

Ensemble Learning for Medical Image Character Recognition based on Enhanced Lenet-5 · Efosa OsagieWei JiNa Helian. Medicine, Computer Science. IEEE Symposium on ...