Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning and Dual-UNet

25 June 2020

Papers citing "Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning and Dual-UNet"

5 / 5 papers shown

Title
Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound Yuhao Huang Ao Chang Haoran Dou X. Tao Xinrui Zhou ... Ruobing Huang Alejandro F Frangi Lingyun Bao Xin Yang Dong Ni 96 1 0 26 Mar 2025
On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation Martin Van Waerebeke Gregory A. Lodygensky Jose Dolz UQCV 18 2 0 07 Mar 2022
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation Huimin Wu Xuelong Li Kwang-Ting Cheng 28 13 0 22 Nov 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey S. Niyas S. Pawan Anand Kumar Jeny Rajan MedIm 53 83 0 19 Aug 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 334 10,621 0 19 Feb 2017