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Table 3 Results of models with various types used for thyroid segmentation in recent years

From: Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture

Type

Authors

Method

Year

Dataset

Noudle IoU (%)

Noudle dice (%)

Gland IoU (%)

Gland dice (%)

Semi-supervised

Kunapinun et al. [46]

StableSeg GAN

2022

Private

82.0

   

Weakly-supervised

Liu et al. [47]

U2F-GAN

2021

Private

 

87.0

  
 

Yu et al. [52]

New SSE-WSSN

2022

Private

51.2

65.8

  

Interactive

Shahroudnejad et al. [48]

ResDUnet

2021

Private

 

82.0

  
 

Daulatabad et al. [53]

Modified U-Net (One-Click)

2021

Private

 

84.0

  
 

Chu et al. [24]

MGU-Net

2021

Private

91.5

95.8

  

U-Net based

Buda et al. [23]

U-Net (with caliper)

2020

Private

 

93.4

  
 

Liao et al. [54]

U2-Rnet

2021

Private

80.8

88.0

34.2

47.4

 

Ataide et al. [55]

ResUNet

2021

Private

76.7

85.7

  
 

Ajilisa et al. [56]

Hybrid Res-UNet3

2022

DDTI

58.8

74.1

  
 

Lin et al. [57]

N-shape network

2022

UTNI-2021

87.0

91.9

  
 

Nie et al. [49]

N-Net

2022

TNUI-2021

87.2

92.0

  
    

DDTI

88.5

93.7

  
 

Li et al. [58]

BTNet

2022

Private

81.0

89.2

  
    

DDTI

65.4

75.7

  
    

BUI

73.5

81.2

  
 

Yadav et al. [59]

Hybrid-UNet (DsF_EPSF)

2022

DDTI + USC

86.6

93.2

  

DeepLab based

Webb et al. [50]

DeepLabv3+ based convolutional LSTM

2021

Private

53.3

 

73.9

 
 

Sun et al. [60]

TNSNet

2021

Private

 

85.3

  

Other

Ma et al. [18]

Deep CNN

2017

Private

86.8

92.2

  
 

Kumar et al. [51]

MPCNN

2020

Private

 

73.0 (64)

76.0 (78)

 

87.0 (68)

91.0 (80)

 

Hu et al. [61]

CNN

2022

Private

 

83.0

  
 

Dai et al. [62]

SEV-Net

2022

DDTI

 

95.7

  
 

Tao et al. [63]

LCA-Net

2022

TN3K

71.2

82.1

  
    

TN-SCUI2020

82.7

90.3

  

U-Net based

 

DSRU-Net (Ours)

 

Private

89.4

94.1

83.2

90.9