Deep Learning in Medical Ultrasound Image Segmentation: a Review

18 February 2020

Papers citing "Deep Learning in Medical Ultrasound Image Segmentation: a Review"

6 / 6 papers shown

Title
DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation Guoping Xu Ximing Wu Wentao Liao Xinglong Wu Qing Huang Chang Li 20 0 0 17 Nov 2024
MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN Robustness for Scribble-Based Weakly Supervised Ultrasound Image Segmentation Xiaoxiang Han Xinyu Li Jiang Shang Yiman Liu Keyan Chen Qiaohong Liu Qi Zhang Qi Zhang Mamba 25 0 0 28 Sep 2024
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation Ziyang Wang Tianze Li Jian-Qing Zheng Baoru Huang 17 33 0 12 Aug 2022
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View V. Zimmer A. Gómez E. Skelton Robert Wright G. Wheeler ... Jacqueline Matthew Bernhard Kainz Daniel Rueckert Joseph V. Hajnal J. Schnabel 25 22 0 29 Jun 2022
Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images Wenqiang Li Ym M. Tang Ziyang Wang K. Yu Sandy To MedIm 13 17 0 08 Apr 2021
Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT Ziyang Wang Irina Voiculescu 16 21 0 09 Mar 2021