May 14, 2024, 4:46 a.m. | Haijiang Tian, Jingkun Yue, Xiaohong Liu, Guoxing Yang, Zeyu Jiang, Guangyu Wang

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.07411v1 Announce Type: new
Abstract: Medical images are often more difficult to acquire than natural images due to the specialism of the equipment and technology, which leads to less medical image datasets. So it is hard to train a strong pretrained medical vision model. How to make the best of natural pretrained vision model and adapt in medical domain still pends. For image classification, a popular method is linear probe (LP). However, LP only considers the output after feature extraction. …

abstract application arxiv cs.ai cs.cv datasets domain equipment fusion image image datasets images imaging leads medical medical imaging natural pretrained models strategies tasks technology train type vision

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