Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model

22 April 2023

Papers citing "Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model"

7 / 7 papers shown

Title
Towards Generalizable Scene Change Detection Jaewoo Kim Uehwan Kim 38 0 0 10 Sep 2024
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models Xiaochen Wang Jiaqi Wang Houping Xiao J. Chen Fenglong Ma MedIm 61 7 0 17 Aug 2024
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints Xianping Ma Qianqian Wu Xingyu Zhao Xiaokang Zhang Man-On Pun Bo Huang 26 41 0 05 Dec 2023
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images Aayushi Tyagi Vaibhav Mishra AP Prathosh Mausam VLM 25 1 0 29 Nov 2023
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape Chaoning Zhang Yu Qiao Shehbaz Tariq Sheng Zheng Chenshuang Zhang Chenghao Li Hyundong Shin Choong Seon Hong VLM 29 10 0 03 Jun 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond Chunhui Zhang Li Liu Yawen Cui Guanjie Huang Weilin Lin Yiqian Yang Yuehong Hu VLM 25 89 0 14 May 2023
Segment Anything Model for Medical Images? Yuhao Huang Yitian Zhao Lei Mou H. Fu Ao Chang ... Lei Li Vicente Grau M. Akiba Fajin Dong Jiang-Dong Liu VLM 75 29 0 28 Apr 2023