Image Segmentation Using Bias Correction Active Contours

Deep learning-based image segmentation methods require densely annotated and massive datasets to produce effective results. On the other hand, active contours-based methods are excellent alternatives to the situation, producing acceptable segmentation results. Earlier active contour models, includin...

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Bibliografische Detailangaben
Hauptverfasser:	Hamza Zia, Shafiullah Soomro, Kwang Nam Choi
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2024-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Non-uniform intensity segmentation distance adjustment term active contour model gradient approach adaptive function
Online-Zugang:	https://ieeexplore.ieee.org/document/10504825/
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Image Segmentation Using Bias Correction Active Contours

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