关键词: 淋巴瘤, 医学图像, 特征提取, 深度学习, 机器学习

Abstract:

Lymphoma is a kind of malignant tumor originated from the lymphoid hematopoietic system. Accurate diagnosis based on medical image and pathological image is of great value for its clinical treatment. With the development of machine learning and deep learning technology, the use of artificial intelligence to classify lymphoma images has become a research hotspot in the field of medicine. This paper systematically summarizes and analyzes the research progress of lymphoma imaging and pathological image classification technology, and focuses on the image classification methods and research overview based on new technologies such as machine learning, and finally summarizes and prospects the related technologies of lymphoma image classification.

Key words: lymphoma, medical image, feature extraction, deep learning, machine learning