U-Net
![[Review] U-Net : Convolutional Networks for Biomedical Image Segmentation](https://img1.daumcdn.net/thumb/R750x0/?scode=mtistory2&fname=https%3A%2F%2Fblog.kakaocdn.net%2Fdna%2FMTWd9%2FbtrroWL9QMN%2FAAAAAAAAAAAAAAAAAAAAAFcTiH-bgpBz-rpzp3FiOFnGQT9KaM-kil2cU4_nymAg%2Fimg.png%3Fcredential%3DyqXZFxpELC7KVnFOS48ylbz2pIh7yKj8%26expires%3D1753973999%26allow_ip%3D%26allow_referer%3D%26signature%3DuEdaHSRyrpzMYttjcpzlLiHfkh4%253D)
[Review] U-Net : Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation 2015년 5월에 나온 Biomedical 분야에서 이미지 분할(Image Segmentation)을 목적으로 제안된 End-to-End 방식의 Fully-Convolutional Network 기반 모델인 U-net에 대해 정리해보려 합니다. ◼ 논문 링크 : U-Net : Convolutional Networks for Biomedical Image Segmentation Abstract data argumentation을 이용해 few labeled data를 가지고도 적절한 학습이 가능하다. contracting path 부분을 통해 context 정보를 얻고, contracting ..