Feature pyramid networks (FPNs) are widely used in the existing deep detection models to help them utilize multi-scale features. However, there exist two ...
Feature pyramid networks (FPNs) are widely used in the existing deep detection models to help them utilize multi-scale features. However, there exist two ...
Jun 10, 2023 · Feature pyramid networks (FPNs) are widely used in the existing deep detection models to help them utilize multi-scale features.
EFPN: Effective medical image detection using feature pyramid ...
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Feature pyramid networks (FPNs) are widely used in the existing deep detection models to help them utilize multi-scale features. However, there exist two ...
Jan 8, 2024 · On the mAP and mR evaluation metrics, EFPN-based Faster R-CNNs improved 1.55% and 4.3% on the PenD (X-ray) dataset, and 2.74% and 3.1% on the ...
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What are the medical image fusion methods?
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... The FPN model primarily addresses multi-scale issues by using a top-down feature fusion mechanism and effectively deals with targets at different scales.
Oct 16, 2019 · Feature Pyramid Network (FPN) builds a high-level semantic feature pyramid and detects objects of different scales in corresponding pyramid ...
Mar 1, 2024 · EFPN: Effective medical image detection using feature pyramid fusion enhancement · Tumor Segmentation Based on Deeply Supervised Multi-Scale U- ...
The Feature Pyramid Networks (FPN) based models are widely used deep-learning-based solutions for automatic medical image detection. However, FPN-based medical ...
This paper presents an enhancement-fusion feature pyramid network (EFPN) to obtain reliable object representations for object detectors. Specifically, it ...
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