Bar Graph Comparison: CNN Model Metrics for DPAGCHE vs. Original Dataset.

Bar Graph Comparison: CNN Model Metrics for DPAGCHE vs. Original Dataset.

<p>Bar graph comparison of classification metrics across five CNN models using the DPAGCHE-enhanced dataset (blue bars) versus the original dataset (orange bars). The enhanced images show significant improvements in recall, precision, and F1-score across all models, indicating better overall c...

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Bibliographic Details
Main Author: Khalis Khiruddin (22208428) (author)
Other Authors: Wan Azani Mustafa (15460909) (author), MD Ashequl Islam (22208431) (author), Khairur Rijal Jamaludin (22208434) (author), Hiam Alquran (17636906) (author), Khairul Shakir Ab Rahman (22208437) (author)
Published: 2025
Subjects:
Neuroscience
Sociology
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
traditional diagnostic approaches
female mortality worldwide
deeper architectures combined
clipping histogram equalization
abnormal cell growth
cervical cancer classification
automated classification method
resnet50 &# 8217
enhance image quality
comparing transfer learning
enhanced dataset achieves
baseline cnn reaches
resnet50 model trained
highest classification performance
method improves contrast
improving training efficiency
enhance detection accuracy
trained cnn models
classification performance
models trained
resnet50 demonstrates
trained cnns
learning rate
image enhancement
enhanced preprocessing
enhanced images
best performance
three categories
study proposes
significant cause
reduces noise
primarily due
prevents overfitting
noise reduction
noise issues
matlab online
including rotations
improved specificity
enhances variability
data augmentation
contrast enhancement
comparative analysis
addressing contrast
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