Laser & Optoelectronics Progress, Volume. 59, Issue 2, 0200005(2022)
Improved U-Net Models and Its Applications in Medical Image Segmentation: A Review
Recently, with the developments of deep learning technology, deep neural networks have been widely applied in the field of medical image segmentation. Due to its good segmentation performance, U-Net has gradually become a research focus in the field of image segmentation. First, the improved works of U-Net are summarized from two perspectives: structural and non-structural improvements. Then, four medical images of retinal vessels, pulmonary nodules, liver and liver tumors, and brain tumors are used as examples to demonstrate the characteristics and segmentation difficulties of various images and to summarize the application of U-Net and its improved networks in relevant images. Finally, the problems encountered in the improvement of U-Net are discussed, and future developments are forecasted.
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Huan Zhang, Dawei Qiu, Yibo Feng, Jing Liu. Improved U-Net Models and Its Applications in Medical Image Segmentation: A Review[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0200005
Category: Reviews
Received: Apr. 27, 2021
Accepted: Jun. 27, 2021
Published Online: Dec. 23, 2021
The Author Email: Liu Jing (liuj_jn@163.com)