SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging

25 March 2024

Papers citing "SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging"

6 / 6 papers shown

Title
Image Segmentation in Foundation Model Era: A Survey Tianfei Zhou Fei Zhang Boyu Chang Wenguan Wang Ye Yuan E. Konukoglu Daniel Cremers VLM 42 4 0 23 Aug 2024
A Refer-and-Ground Multimodal Large Language Model for Biomedicine Xiaoshuang Huang Haifeng Huang Lingdong Shen Yehui Yang Fangxin Shang Junwei Liu Jia Liu LM&MA 47 7 0 26 Jun 2024
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation Yunhao Bai Duowen Chen Qingli Li Wei Shen Yan Wang 36 124 0 01 May 2023
Customized Segment Anything Model for Medical Image Segmentation Kaiwen Zhang Dong Liu MedIm VLM 95 286 0 26 Apr 2023
Bidirectional Language Models Are Also Few-shot Learners Ajay Patel Bryan Li Mohammad Sadegh Rasooli Noah Constant Colin Raffel Chris Callison-Burch LRM 62 45 0 29 Sep 2022
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 288 75,800 0 18 May 2015