Using feature maps to unpack the CNN ‘Black box’ theory with two medical datasets of different modality

Using feature maps to unpack the CNN ‘Black box’ theory with two medical datasets of different modality

Convolutional neural networks (CNNs) have been established for a comprehensive range of computer vision problems across several benchmarks. Visualization and analysis of feature maps generated by convolutional layers can be an effective approach to explore the hidden and complex characteristic of a...

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Bibliographic Details
Main Authors: Sami Azam, Sidratul Montaha, Kayes Uddin Fahim, A.K.M. Rakibul Haque Rafid, Md. Saddam Hossain Mukta, Mirjam Jonkman
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Intelligent Systems with Applications
Subjects:
Black box
Convolutional neural network
Feature map analysis
Geometric feature
T-test
ANOVA test
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305323000583

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http://www.sciencedirect.com/science/article/pii/S2667305323000583

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