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Advancing Medical Image Segmentation with Mini-Net: A Lightweight
  Solution Tailored for Efficient Segmentation of Medical Images

Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images

27 May 2024
Syed Javed
Tariq Mahmood Khan
Abdul Qayyum
Arcot Sowmya
Imran Razzak
    SSeg
ArXivPDFHTML

Papers citing "Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images"

4 / 4 papers shown
Title
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise
  Perspective with Transformer
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
Haonan Wang
Peng Cao
Jiaqi Wang
Osmar R. Zaiane
MedIm
ViT
121
705
0
09 Sep 2021
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative
  Adversarial Networks for Robust Lung Segmentation
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
D. Jin
Ziyue Xu
Youbao Tang
Adam P. Harrison
D. Mollura
MedIm
44
185
0
11 Jun 2018
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
429
15,595
0
02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,445
0
18 May 2015
1