Semantic segmentation4 (작성 중...)[JIS] Deep Learning for Image Segmentation [JIS] Journal Introduction Summary: Deep Learning for Image Segmentation [Since 2020] 1. Zhou, Man, et al. "Deep fourier up-sampling." arXiv preprint arXiv:2210.05171 (2022). 2. (Swin-UNet) Cao, Hu, et al. "Swin-unet: Unet-like pure transformer for medical image segmentation." European conference on computer vision. Cham: Springer Nature Switzerland, 2022. 2. (Swin UNETR) Hatamizadeh, Ali, et al.. 2023. 11. 25. 비전 딥러닝 특강 - 7-1. Segmentation / Segmentation 원리 2023. 8. 16. Wang et al., 2019, Pathology Image Analysis Using Segmentation Deep Learning Algorithms. # 세줄 요약 # With the rapid development of image scanning techniques and visualization software, whole slide imaging (WSI) is becoming a routine diagnostic method. Deep learning-based pathology image segmentation has become an important tool in WSI analysis because that algorithms such as fully convolutional networks stand out for their accuracy, computational efficiency, and generalizability. In t.. 2021. 12. 20. Kim et al., 2020, Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CT # 세줄 요약 # Recent advances in fully convolutional networks have enabled automatic segmentation, however, high labeling efforts and difficulty in acquiring sufficient and high-quality training data is still a challenge. In this study, a cascaded 3D U-Net with active learning to 3 stages: first, training small dataset with manual labeling ground truth, second, training previous dataset and newly ad.. 2021. 8. 16. 이전 1 다음
