Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation

16 December 2023

Papers citing "Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation"

4 / 4 papers shown

Title
Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation Hai Siong Tan Kuancheng Wang R. Mcbeth UQCV 25 0 0 24 Oct 2024
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization Yingfan Wang Haiyang Huang Cynthia Rudin Yaron Shaposhnik 159 301 0 08 Dec 2020
Deep learning for cardiac image segmentation: A review C. L. P. Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 64 674 0 09 Nov 2019
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 300 75,834 0 18 May 2015