Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network
for Surgical Tools Segmentation

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Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation

29 March 2022

Kareem O. Tawfik

ArXiv (abs)PDF HTML

Papers citing "Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation"

5 / 5 papers shown

Title
Hierarchical Context Transformer for Multi-level Semantic Scene Understanding Luoying Hao Yan Hu Yang Yue Li Wu Huazhu Fu Jinming Duan Jiang Liu 97 0 0 24 Feb 2025
Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review Ufaq Khan Umair Nawaz A. Qayyum Shazad Ashraf Muhammad Bilal Junaid Qadir 145 0 0 24 Feb 2025
Leveraging sinusoidal representation networks to predict fMRI signals from EEG Yamin Li Ange Lou Ziyuan Xu Shiyu Wang Catie Chang 71 7 0 06 Nov 2023
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels Chenyu You Weicheng Dai Fenglin Liu Yifei Min Haoran Su Xiaoran Zhang Xiaoxiao Li David Clifton Lawrence H. Staib James S. Duncan 151 53 0 27 Sep 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 137 171 0 28 Jul 2022