2024年5月1日发(作者：caj阅读器安卓手机版app)
ChatGPT在医学图像分析与诊断中的应用探索（英文中文
双语版优质文档）
In the medical field, the diagnosis and analysis of medical
images has always been an important task for doctors.
However, with the development and application of deep
learning, medical image analysis and diagnosis technology
based on artificial intelligence has also attracted more and
more attention. As an advanced artificial intelligence
technology, ChatGPT has excellent language understanding
and generation capabilities, and is widely used in the field of
medical image analysis and diagnosis.
1. Medical image analysis
Medical image analysis is an important technology in medical
imaging. It mainly performs image processing, segmentation,
feature extraction, and classification on medical images to
help doctors diagnose and treat diseases. Deep learning is
currently one of the most popular medical image analysis
techniques, among which convolutional neural network (CNN)
and recurrent neural network (RNN) are the two most widely
used deep learning models.
In medical image analysis, ChatGPT is mainly used for natural
language processing and understanding of case texts, so as to
improve the efficiency and accuracy of doctors' diagnosis. For
example, in the field of radiology, doctors usually need to
identify and mark different organs and lesions from patients'
CT or MRI images, and then perform diagnosis and analysis.
However, this process requires physicians to perform
extensive visual searches and information screening, which is
time-consuming and error-prone. Using ChatGPT technology,
the doctor's text description can be converted into a
computer-understandable language form, thereby assisting
the doctor in image analysis and diagnosis.
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