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Table 10 Comparison of proposed technique with SOTA methods on selected datasets

From: A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images

Authers

Year

Dataset

Accuracy (%)

C. Gamage et al. [42]

2019

Kvasir-V2

90.74

D. Mubarak et al. [43]

2021

Kvasir-V1

94.46

M. Adhaileh et al. [44]

2021

Kvasir-V1

97.00

A. Ahmed et al. [45]

2022

Kvasir-V1

90.17

M. A. Khan et al. [46]

2022

Kvasir-V1

97.85

Khan Farooq et al. [47]

2024

Kvasir-VI

98.25

Proposed

Kvasir-V1

99.60

Proposed

Kvasir-VII

95.10