Autonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis

Table 8 Comparison with current state of art

Reference	Technique/ Model used	Number of Images/ Dataset	Number of Classes	Performance Measures
Reference	Technique/ Model used	Number of Images/ Dataset	Number of Classes	Accuracy %	Other Parameters
[7]/2022	Deep Learning	120/Patient Data	2	82	Recall 72.7% Specificity 72.9% AUC 0.755
[18]/2023	VGG16	723/Nail Disease Dataset	3	94	-
[19]/2022	Ensemble of CNNs	185/Patient Data	2	95	Precision – 94%
[20] /2022	UNet	723/Nail Disease Dataset	2	86.49	-
[21]/2024	CNN MobileNetV2	1159/Nail Disease image dataset	8	97	-
Proposed Hybrid Capsule CNN Model		3835/Nail Disease Detection Dataset	6	99.25	Precision – 97.35% Recall – 96.79% F-1 Score – 97.07%

ISSN: 1472-6947