Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets

18 April 2023

Papers citing "Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets"

8 / 8 papers shown

Title
PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation Yiheng Zhong Zihong Luo Chengzhi Liu Feilong Tang Zelin Peng Ming Hu Y. Hu Jionglong Su Zongyuan Geand Imran Razzak MedIm 60 0 0 23 Mar 2025
VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with LoRA and Atrous Attention Adnan Iltaf Rayan Merghani Ahmed Bin Li Bin Li Shoujun Zhou 50 0 0 25 Feb 2025
ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements M. Arda Aydın Efe Mert Çırpar Elvin Abdinli Gözde B. Ünal Y. Sahin VLM 66 0 0 18 Nov 2024
ProMerge: Prompt and Merge for Unsupervised Instance Segmentation Dylan Li Gyungin Shin 22 3 0 27 Sep 2024
FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything Safouane El Ghazouali Youssef Mhirit Ali Oukhrid Umberto Michelucci H. Nouira 41 8 0 29 Feb 2024
Are foundation models efficient for medical image segmentation? Danielle Ferreira Rima Arnaout MedIm VLM 20 2 0 08 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
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer Haonan Wang Peng Cao Jiaqi Wang Osmar R. Zaiane MedIm ViT 121 707 0 09 Sep 2021