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Computational and Mathematical Methods in Medicine
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Computational and Mathematical Methods in Medicine
/
2022
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Article
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Tab 1
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Research Article
MSeg-Net: A Melanoma Mole Segmentation Network Using CornerNet and Fuzzy
-
Means Clustering
Table 1
Relative investigation of existing approaches for recognizing melanoma moles.
Author
Year
Approach
Task
Database
Accuracy
ML techniques
Alquran et al. [
20
]
2017
Pattern features + SVM
Categorization
Custom database
92.10%
Codella et al. [
22
]
2017
U-Net + SVM
Categorization
ISIC-2016
76%
Daghrir et al. [
23
]
2020
SIFT + SVM and KNN
Categorization
ISIC-2017
88.40%
Bama et al. [
24
]
2021
GMM model
Segmentation
PH2
86.83%
Hu et al. [
25
]
2019
SIFT + SVM
Categorization
PH2
82%
Durgarao et al. [
44
]
2021
LVP, and LBP +
-
means
Segmentation
PH2
79.44%
DL techniques
Ameri et al. [
26
]
2020
AlexNet
Categorization
HAM10000
84%
Acosta et al. [
27
]
2021
ResNet-152
Categorization
ISIC-2017
90.40%
Zhang et al. [
28
]
2019
VGG-16
Categorization
ISIC-2017
92.72%
Shan et al. [
29
]
2020
FC-DPN
Segmentation
ISIC-2017
95.14%
Bi et al. [
30
]
2019
Res-FCN
Segmentation
ISIC-2016
95.78%
Adegun et al. [
31
]
2019
Encoder-decoder
Categorization
ISIC-2017
95%
Nawaz et al. [
32
]
2021
Faster-RCNN + FKM
Segmentation
PH2
95.6%
Nawaz et al. [
35
]
2021
Faster-RCNN + SVM
Categorization
ISIC-2016
89.10%
Banerjee et al. [
36
]
2020
YOLO + L-type fuzzy clustering
Segmentation
ISIC-2017
97.33%
Iqbal et al. [
37
]
2021
CNN
Categorization
ISIC-2019
88.75%
Khan et al. [
38
]
2021
Mask-RCNN, DenseNet201 + SVM
Segmentation
ISIC-2016
93.6%
Mohakud et al. [
39
]
2022
Encoder-decoder
Segmentation
ISIC-2016
98.32%
Abdar et al. [
40
]
2021
Bayesian model
Categorization
Kaggle skin cancer dataset
88.95%
Pacheco et al. [
41
]
2021
Metadata and block-based method
Categorization
ISIC-2019
74.90%
Wang et al. [
42
]
2022
U-Net
Segmentation
ISIC-2017
94.67%
Zhao et al. [
43
]
2022
U-Net++
Segmentation
ISIC-2018
95.30%
Ali et al. [
46
]
2021
DCNN
Categorization
HAM10000
91.93%