Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets

Newton Spolaôr; Huei Lee; Ana Isabel Mendes; Conceição Nogueira; Antonio Rafael Sabino Parmezan; Weber Shoity Resende Takaki; Cláudio Saddy Rodrigues Coy; Feng Chung Wu; Rui Fonseca-Pinto

doi:10.1007/s11042-023-16529-w

JOURNAL ARTICLE

Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets

Newton Spolaôr Huei Lee Ana Isabel Mendes Conceição Nogueira Antonio Rafael Sabino Parmezan Weber Shoity Resende Takaki Cláudio Saddy Rodrigues Coy Feng Chung Wu Rui Fonseca-Pinto

Year: 2023 Journal: Multimedia Tools and Applications Vol: 83 (9)Pages: 27305-27329 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-023-16529-w

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Keywords:

Computer science Overfitting Convolutional neural network Artificial intelligence Transfer of learning Deep learning Machine learning Domain (mathematical analysis) Contextual image classification Pattern recognition (psychology) Artificial neural network Image (mathematics)

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Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets

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