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Confusion matrix for the best-performing model on the SMIDS dataset (GAP + PCA + SVM_RBF).

Confusion matrix for the best-performing model on the SMIDS dataset (GAP + PCA + SVM_RBF).

<p>The model achieved high precision and recall across all three classes.</p>

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Bibliographic Details
Main Author: Şafak Kılıç (22227019) (author)
Published: 2025
Subjects:
Biotechnology
Space Science
Information Systems not elsewhere classified
two benchmark datasets
sophisticated feature engineering
reproductive health evaluation
reduced fertility rates
random forest importance
nearest neighbors algorithms
deep feature engineering
clinical implications include
assisted reproductive procedures
abnormal sperm morphology
77 ± 0
30 &# 8211
representing significant improvements
sperm morphology analysis
baseline cnn performance
cam attention visualization
pca ), chi
significant time savings
cbam attention mechanisms
08 ± 1
significant inter
time analysis
art performance
xlink ">
variance thresholding
using 5
treatment outcomes
test accuracies
studies reporting
strongly correlated
square test
rigorously evaluated
resnet50 architecture
research presents
research demonstrates
observer variability
mcnemar ’
linear kernels
fold cross
expert evaluators
existing state
critical component
best configuration
art approaches
45 minutes
3000 images
216 images
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