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Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets
18 April 2023
Sheng He
Rina Bao
Jingpeng Li
J. Stout
A. Bjørnerud
P. E. Grant
Yangming Ou
VLM
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Papers citing
"Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets"
11 / 11 papers shown
Title
VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with LoRA and Atrous Attention
Adnan Iltaf
Rayan Merghani Ahmed
Bin Li
Bin Li
Shoujun Zhou
77
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
168
1
0
18 Nov 2024
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation
Chuanfei Hu
Tianyi Xia
Shenghong Ju
Xinde Li
MedIm
VLM
30
74
0
17 Apr 2023
Can SAM Segment Polyps?
Tao Zhou
Yizhe Zhang
Yi Zhou
Ye Wu
Chen Gong
MedIm
37
65
0
15 Apr 2023
U-Netmer: U-Net meets Transformer for medical image segmentation
Sheng He
Rina Bao
P. E. Grant
Yangming Ou
ViT
MedIm
83
13
0
03 Apr 2023
The Medical Segmentation Decathlon
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
...
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
OOD
84
965
0
10 Jun 2021
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
83
2,604
0
11 Dec 2019
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
Noel Codella
V. Rotemberg
P. Tschandl
M. E. Celebi
Stephen W. Dusza
...
Aadi Kalloo
Konstantinos Liopyris
Michael Marchetti
Harald Kittler
Allan Halpern
67
1,178
0
09 Feb 2019
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic
P. Christ
Hongwei Bran Li
Eugene Vorontsov
Avi Ben-Cohen
...
L. Soler
Bram van Ginneken
H. Greenspan
Leo Joskowicz
Bjoern Menze
77
1,009
0
13 Jan 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas
M. Reyes
Andras Jakab
Stefan Bauer
Markus Rempfler
...
Jayashree Kalpathy-Cramer
Keyvan Farahani
Christos Davatzikos
Koen van Leemput
Bjoern Menze
109
1,623
0
05 Nov 2018
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Jo Schlemper
Ozan Oktay
M. Schaap
M. Heinrich
Bernhard Kainz
Ben Glocker
Daniel Rueckert
MedIm
51
1,459
0
22 Aug 2018
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