Learnable Ophthalmology SAM

Learnable Ophthalmology SAM

26 April 2023

Papers citing "Learnable Ophthalmology SAM"

19 / 19 papers shown

Title
Contour Field based Elliptical Shape Prior for the Segment Anything Model Xinyu Zhao Jun Liu Faqiang Wang Li-min Cui Yuping Duan MedIm 34 0 0 17 Apr 2025
SAM2-ELNet: Label Enhancement and Automatic Annotation for Remote Sensing Segmentation Jianhao Yang Wenshuo Yu Yuanchao Lv Jiance Sun Bokang Sun Mingyang Liu 46 0 0 16 Mar 2025
Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy Yuxuan Wen Evgenia Roussinova Olivier Brina Paolo Machi Mohamed Bouri OOD MedIm 21 1 0 09 Oct 2024
Segment Anything for Videos: A Systematic Survey Chunhui Zhang Yawen Cui Weilin Lin Guanjie Huang Yan Rong Li Liu Shiguang Shan VLM 39 6 0 31 Jul 2024
Segment Any Medical Model Extended Yihao Liu Jiaming Zhang Andres Diaz-Pinto Haowei Li A. Martin-Gomez Amir Kheradmand Mehran Armand VLM MedIm 20 7 0 26 Mar 2024
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model Changhong Hou Junchuan Yu Daqing Ge Liu Yang Laidian Xi Yunxuan Pang Yi Wen 22 0 0 15 Mar 2024
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy Zdravko Marinov Paul F. Jäger Jan Egger Jens Kleesiek Rainer Stiefelhagen 30 16 0 23 Nov 2023
GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy Hongyang Jiang Mengdi Gao Zirong Liu Chen Tang Xiaoqing Zhang Shuai Jiang Wu Yuan Jiang Liu MedIm 16 12 0 14 Nov 2023
Are Natural Domain Foundation Models Useful for Medical Image Classification? Joana Palés Huix Adithya Raju Ganeshan Johan Fredin Haslum Magnus P Soderberg Christos Matsoukas Kevin Smith OOD MedIm VLM 19 30 0 30 Oct 2023
AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation Jay N. Paranjape Nithin Gopalakrishnan Nair S. Sikder S. Vedula Vishal M. Patel MedIm 18 38 0 07 Aug 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook Muhammad Awais Muzammal Naseer Salman Khan Rao Muhammad Anwer Hisham Cholakkal M. Shah Ming Yang F. Khan VLM 18 117 0 25 Jul 2023
$$\mathrm{SAM^{Med}}$: A medical image annotation framework based on large vision model$ $\mathrm{SAM^{Med}}$ : A medical image annotation framework based on large vision model Chenglong Wang Dexuan Li Sucheng Wang Chengxiu Zhang Yida Wang Yun-hui Liu Guang Yang VLM MedIm 26 18 0 11 Jul 2023
Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and Localization Ying-Hsiu Lai Zhiming Luo Zitong Yu CVBM 22 20 0 29 Jun 2023
When SAM Meets Sonar Images Lin Wang Xiufen Ye Liqiang Zhu Weijie Wu Jianguo Zhang Huiming Xing Chao Hu VLM 16 15 0 25 Jun 2023
Artificial General Intelligence for Medical Imaging Xiang Li Lu Zhang Zihao Wu Zheng Liu Lin Zhao ... Pingkuan Yan Quanzheng Li W. Liu Tianming Liu Dinggang Shen LM&MA AI4CE 17 39 0 08 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 32 89 0 14 May 2023
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering Chaoning Zhang Fachrina Dewi Puspitasari Sheng Zheng Chenghao Li Yu Qiao ... Caiyan Qin François Rameau Lik-Hang Lee Sung-Ho Bae Choong Seon Hong VLM 76 62 0 12 May 2023
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes D. Cheng Ziyuan Qin Zekun Jiang Shaoting Zhang Qicheng Lao Kang Li MedIm VLM 11 101 0 28 Apr 2023
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 236 804 0 14 Oct 2021