AI-SAM: Automatic and Interactive Segment Anything Model

5 December 2023

Papers citing "AI-SAM: Automatic and Interactive Segment Anything Model"

7 / 7 papers shown

Title
GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI Data Cecilia Diana-Albelda Roberto Alcover-Couso Álvaro García-Martín Jesús Bescós Marcos Escudero-Viñolo 37 1 0 06 Mar 2025
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 49 55 0 16 Sep 2023
Customized Segment Anything Model for Medical Image Segmentation Kaiwen Zhang Dong Liu MedIm VLM 95 276 0 26 Apr 2023
MISSFormer: An Effective Medical Image Segmentation Transformer Xiaohong Huang Zhifang Deng Dandan Li Xueguang Yuan ViT MedIm 87 168 0 15 Sep 2021
Camouflaged Object Segmentation with Distraction Mining Haiyang Mei Ge-Peng Ji Ziqi Wei Xin Yang Xiaopeng Wei Deng-Ping Fan 114 311 0 21 Apr 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015