Jun 3, 2022 · Experimental results demonstrate that, the proposed framework achieves a comparative performance with the fully supervised methods on PHE ...
Jun 6, 2022 · To improve the efficiency of PHE volume measurement, some automatic or semi-automatic segmentation methods have been proposed. Sven et al. [7] ...
Experimental results demonstrate that, the proposed framework achieves a comparative performance with the fully supervised methods on PHE segmentation, and ...
Duration: 1:15
Posted: Feb 10, 2023
Posted: Feb 10, 2023
Uncertainty-Aware Deep Learning With Cross-Task Supervision for PHE Segmentation on CT Images. IEEE J. Biomed. Health Informatics 26(6): 2615-2626 (2022). [+][–] ...
Jun 8, 2022 · Uncertainty-Aware Deep Learning with Cross-Task Supervision for PHE Segmentation on CT Images Kuang, Zhuo; Yan, Zengqiang; Yu, Li; Deng ...
Oct 21, 2024 · Uncertainty-Aware Deep Learning With Cross-Task Supervision for PHE Segmentation on CT Images. IEEE J. Biomed. Health Informatics 26(6) ...
Oct 12, 2023 · Uncertainty-aware deep learning with cross-task supervision for phe segmentation on ct images. IEEE Journal of Biomedical and Health ...
This research paper introduces a novel approach to quantify uncertainty in deep learning models for accurate lung ultrasound image analysis.
![PDF] PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation ...](https://www.google.com/imgres?imgurl=https://ai2-s2-public.s3.amazonaws.com/figures/2017-08-08/507755308c259f8ff00251d0b5a16a4cc5d63561/6-Figure3-1.png&imgrefurl=https://www.semanticscholar.org/paper/PHE-SICH-CT-IDS%253A-A-Benchmark-CT-Image-Dataset-for-Ma-Li/507755308c259f8ff00251d0b5a16a4cc5d63561&h=458&w=1254&tbnid=Hb3MWbyJsefdiM&q=Uncertainty-Aware+Deep+Learning+With+Cross-Task+Supervision+for+PHE+Segmentation+on+CT+Images.&tbnh=55&tbnw=150&usg=AI4_-kTV1Y_y4ICiVWNh7npHPKtr4PZj4A&vet=1&docid=dr4snXjNB_QkGM&itg=1&sa=X&ved=2ahUKEwiJ9YHUktKJAxXHKkQIHYfHGxMQ9QF6BAgEEA4)