SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation

26 August 2023

Papers citing "SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation"

8 / 8 papers shown

Title
Recent Advances in Medical Imaging Segmentation: A Survey Fares Bougourzi Abdenour Hadid OOD 44 0 0 14 May 2025
Adapting a Segmentation Foundation Model for Medical Image Classification Pengfei Gu Haoteng Tang Islam A. Ebeid Jose Angel Nuñez Fabian Vazquez Diego Adame Marcus Zhan Huimin Li Bin Fu Danny Chen MedIm VLM 41 0 0 09 May 2025
Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Diego Adame Jose Angel Nuñez Fabian Vazquez Nayeli Gurrola Huimin Li Haoteng Tang Bin Fu Pengfei Gu Mamba 35 0 0 09 May 2025
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation Yunhao Bai Duowen Chen Qingli Li Wei Shen Yan Wang 44 127 0 01 May 2023
Segment Anything Model for Medical Images? Yuhao Huang Yitian Zhao Lei Mou Huazhu Fu Ao Chang ... Lei Li Vicente Grau M. Akiba Fajin Dong Jiang-Dong Liu VLM 80 40 0 28 Apr 2023
Pseudo-label refinement using superpixels for semi-supervised brain tumour segmentation Bethany H. Thompson G. D. Caterina J. Voisey 33 31 0 16 Oct 2021
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation Yicheng Wu Z. Ge Donghao Zhang Minfeng Xu Lei Zhang Yong-quan Xia Jianfei Cai OOD SSL 77 231 0 21 Sep 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 241 509 0 15 Jan 2021