Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation

Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation

26 February 2024

Yuan Gao

Papers citing "Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation"

5 / 5 papers shown

Title
BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels Yi-Mou Lin Zeyu Wang Dong-Ming Zhang Kwang-Ting Cheng Hao Chen 42 7 0 15 Jan 2024
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting Dongnan Liu Donghao Zhang Yang Song Fan Zhang L. O’Donnell Heng-Chiao Huang Mei Chen Weidong (Tom) Cai 35 75 0 05 May 2020
PanNuke Dataset Extension, Insights and Baselines Jevgenij Gamper Navid Alemi Koohbanani Ksenija Benes S. Graham Mostafa Jahanifar S. Khurram A. Azam K. Hewitt Nasir M. Rajpoot 118 174 0 24 Mar 2020
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 255 36,371 0 25 Aug 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 294 75,800 0 18 May 2015