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Cross-modal generalization performance of FocusGate-Net.

Cross-modal generalization performance of FocusGate-Net.

<p>Cross-modal generalization performance of FocusGate-Net.</p>

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Bibliographic Details
Main Author: Şafak Kılıç (22227019) (author)
Published: 2025
Subjects:
Biophysics
Medicine
Biotechnology
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
thereby enhancing applicability
suboptimal boundary localization
preserving low latency
models often struggle
grained spatial context
enhancing feature selectivity
dataset generalization capability
challenging task requiring
skin lesion segmentation
convolution hybrid network
achieving dice scores
minimal architectural complexity
time clinical settings
paper introduces focusgate
convolutional feature extractors
balance segmentation accuracy
based hybrid architectures
attention guided mlp
clinical settings
polyp segmentation
mlp architectures
hybrid design
hybrid architecture
dice coefficient
based modules
based methods
attention gate
architectural simplicity
architectural component
unet ++,
results highlight
promising alternative
lightweight mlp
inference speed
frequently lack
evaluate focusgate
design aims
dermatoscopic images
computational efficiency
capture fine
approach leverages
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