A Survey on Automated Prompt-Based Multimodal Transfer Learning for Medical Imaging and Healthcare Data DOI Creative Commons

Pooja Puspita Priyadarshani,

Rahul S. Rajan

International Journal For Multidisciplinary Research, Journal Year: 2024, Volume and Issue: 6(6)

Published: Dec. 31, 2024

In an array of occupations, like text input, image and recognize speech, deep learning combined has emerged as a significant technological advancement for handling difficult identification work, assessment gives illustrated investigation the multitude ways that changed several fields, focusing on cutting-edge techniques with designs. A powerful method shows exceptional efficacy identifying images goals subject division involves neural networks using convolution. Developments by transfer have allowed trained models to become deployed further specialized occupations less information thus improving its efficiency. Text message along languages are progressing enormously largely instances such recurrent Long-Short-Term-Memory, or systems. These prototypes excel at creating information, comprehending circumstances, managing range in Language processing natural language tasks, consisting query answering, device interpretation, evaluating sentiments. The implementation pretrained linguistic produced improvements performance text-related operations, despite limited tagged information. currently utilized speech order reach high interpreting efficiency voice compose text.

Language: Английский

A Survey on Automated Prompt-Based Multimodal Transfer Learning for Medical Imaging and Healthcare Data DOI Creative Commons

Pooja Puspita Priyadarshani,

Rahul S. Rajan

International Journal For Multidisciplinary Research, Journal Year: 2024, Volume and Issue: 6(6)

Published: Dec. 31, 2024

In an array of occupations, like text input, image and recognize speech, deep learning combined has emerged as a significant technological advancement for handling difficult identification work, assessment gives illustrated investigation the multitude ways that changed several fields, focusing on cutting-edge techniques with designs. A powerful method shows exceptional efficacy identifying images goals subject division involves neural networks using convolution. Developments by transfer have allowed trained models to become deployed further specialized occupations less information thus improving its efficiency. Text message along languages are progressing enormously largely instances such recurrent Long-Short-Term-Memory, or systems. These prototypes excel at creating information, comprehending circumstances, managing range in Language processing natural language tasks, consisting query answering, device interpretation, evaluating sentiments. The implementation pretrained linguistic produced improvements performance text-related operations, despite limited tagged information. currently utilized speech order reach high interpreting efficiency voice compose text.

Language: Английский

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