Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

1 June 2023

Zongwei Zhou

Papers citing "Continual Learning for Abdominal Multi-Organ and Tumor Segmentation"

8 / 8 papers shown

Title
A Comprehensive Survey of Foundation Models in Medicine Wasif Khan Seowung Leem Kyle B. See Joshua K. Wong Shaoting Zhang R. Fang AI4CE LM&MA VLM 97 18 0 17 Jan 2025
Contour-weighted loss for class-imbalanced image segmentation Zhhengyong Huang Yao Sui 42 3 0 07 Jun 2024
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts Ziheng Zhao Yao Zhang Chaoyi Wu Xiaoman Zhang Ya-Qin Zhang Yanfeng Wang Weidi Xie VLM MedIm 30 37 0 28 Dec 2023
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 54 3 0 15 Dec 2023
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning Ruxiao Duan Yaoyao Liu Jieneng Chen Adam Kortylewski Alan L. Yuille DiffM VLM 25 1 0 30 Nov 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection Jie Liu Yixiao Zhang Jieneng Chen Junfei Xiao Yongyi Lu Bennett A. Landman Yixuan Yuan Alan Yuille Yucheng Tang Zongwei Zhou VLM MedIm 39 193 0 02 Jan 2023
Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study Ziyuan Qin Huahui Yi Qicheng Lao Kang Li VLM 24 65 0 30 Sep 2022
Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training Zhihong Chen Yu Du Jinpeng Hu Yang Liu Guanbin Li Xiang Wan Tsung-Hui Chang 79 111 0 15 Sep 2022