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TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion
  Segmentation

TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation

19 August 2024
Shahzaib Iqbal
Muhammad Zeeshan
Mehwish Mehmood
Tariq M. Khan
Imran Razzak
    ViT
    MedIm
ArXivPDFHTML

Papers citing "TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation"

5 / 5 papers shown
Title
Hyper-Fusion Network for Semi-Automatic Segmentation of Skin Lesions
Hyper-Fusion Network for Semi-Automatic Segmentation of Skin Lesions
Lei Bi
M. Fulham
Jinman Kim
74
18
0
14 Dec 2024
TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical
  Image Segmentation
TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical Image Segmentation
Shahzaib Iqbal
Tariq M. Khan
Syed S. Naqvi
Asim Naveed
Erik H. W. Meijering
MedIm
48
6
0
05 Sep 2024
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for
  Medical Image Segmentation
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation
Bingzhi Chen
Yishu Liu
Zheng-Wei Zhang
Guangming Lu
A. W. Kong
MedIm
ViT
101
208
0
12 Jul 2021
Improving Dermoscopic Image Segmentation with Enhanced
  Convolutional-Deconvolutional Networks
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks
Yading Yuan
Y. Lo
132
224
0
28 Sep 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
234
75,770
0
18 May 2015
1