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CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound
  Image Segmentation

CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation

31 July 2024
Shreyank N. Gowda
David A. Clifton
    MedIm
ArXivPDFHTML

Papers citing "CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation"

6 / 6 papers shown
Title
Masks and Manuscripts: Advancing Medical Pre-training with End-to-End
  Masking and Narrative Structuring
Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring
Shreyank N. Gowda
David A. Clifton
MedIm
29
1
0
23 Jul 2024
Continual Learning with Transformers for Image Classification
Continual Learning with Transformers for Image Classification
B. Ermiş
Giovanni Zappella
Martin Wistuba
Aditya Rawal
Cédric Archambeau
CLL
41
21
0
28 Jun 2022
MISSFormer: An Effective Medical Image Segmentation Transformer
MISSFormer: An Effective Medical Image Segmentation Transformer
Xiaohong Huang
Zhifang Deng
Dandan Li
Xueguang Yuan
ViT
MedIm
87
173
0
15 Sep 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang
Huiye Liu
Qiang Hu
ViT
MedIm
200
891
0
16 Feb 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
249
36,362
0
25 Aug 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
267
75,770
0
18 May 2015
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