Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 235, P. 110369 - 110369
Published: April 9, 2025
Language: Английский
Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 235, P. 110369 - 110369
Published: April 9, 2025
Language: Английский
Electronics, Journal Year: 2025, Volume and Issue: 14(5), P. 969 - 969
Published: Feb. 28, 2025
The shortage of medical personnel and the busy lives modern people have increased desire for self-diagnosis diseases, latest large-scale language models image recognition technologies potential to meet this demand. In particular, skin-related diseases are one areas where symptoms visually distinguishable, making care possible. paper, we propose a system that classifies through images skin combines them with individual conditions such as age, type, gender self-diagnosis. First, design deep learning model-based disease classifier can classify six types using HAM10000 dataset generate prompts by combining personal information input. By utilizing Generative Pre-trained Transformer (GPT) model, generates personalized methods based on these prompts. We measured accuracy classification model proposed validated effectiveness method user evaluations.
Language: Английский
Citations
0Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127163 - 127163
Published: March 1, 2025
Citations
0Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 235, P. 110369 - 110369
Published: April 9, 2025
Language: Английский
Citations
0