Segment Anything in Medical Images and Videos: Benchmark and Deployment

6 August 2024

Papers citing "Segment Anything in Medical Images and Videos: Benchmark and Deployment"

6 / 6 papers shown

Title
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging Elena Mulero Ayllón Massimiliano Mantegna Linlin Shen Paolo Soda V. Guarrasi M. Tortora 19 0 0 02 May 2025
When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation Yuli Zhou Guolei Sun Yawei Li Guo-Sen Xie Luca Benini Ender Konukoglu 20 3 0 27 Sep 2024
Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging Yosuke Yamagishi S. Hanaoka Tomohiro Kikuchi Takahiro Nakao Yuta Nakamura Y. Nomura S. Miki T. Yoshikawa O. Abe 30 6 0 12 Aug 2024
SAM 2: Segment Anything in Images and Videos Nikhila Ravi Valentin Gabeur Yuan-Ting Hu Ronghang Hu Chaitanya K. Ryali ... Nicolas Carion Chao-Yuan Wu Ross B. Girshick Piotr Dollár Christoph Feichtenhofer VLM MLLM 31 676 0 01 Aug 2024
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation Cheng Chen Juzheng Miao Dufan Wu Zhiling Yan Sekeun Kim ... Lichao Sun Xiang Li Tianming Liu Pheng-Ann Heng Quanzheng Li MedIm 44 55 0 16 Sep 2023
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 226 74,467 0 18 May 2015