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January 1, 2026International Journal of Artificial Intelligence in Healthcare

Medical imaging defect segmentation using artificial intelligence and deep learning techniques

Wilson Singh Shruti Bharadwaj Rakesh Dubey Neeti Bharadwaj

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Key Points

The aim is to evaluate the effectiveness of artificial intelligence and deep learning in segmenting defects in medical images.
Implemented deep learning algorithms for defect segmentation in medical images.
Utilized various AI techniques to enhance image analysis accuracy.
Employed performance metrics to assess segmentation effectiveness.
Achieved a significant improvement in segmentation accuracy compared to traditional methods.
Demonstrated a reduction in segmentation time by 30% using AI techniques.

Implication

Demonstrates improved defect segmentation in medical imaging, suggesting AI enhances diagnostic accuracy.

Abstract

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Cite This Study

Singh et al. (2026) studied this question.

synapsesocial.com/papers/6a22698b763171746d5480ed https://doi.org/10.1504/ijaih.2026.10078934

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