MammographyQuality ControlCNN

Towards Improving Mammography Quality: CNN Models for Skin Fold Positioning Error Classification

Journal submission / 2025 / journal

Bhandary Panambur A, Fieselmann A, Biniazan R, Hummer C, Kappler S, Bayer S, Maier A

journal / 2025

Medical AI visual summary

MammographyQuality ControlCNN

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Scientific summary

This study investigates CNN-based detection of skin-fold positioning errors for mammography quality control.

Abstract

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Why it matters

Automated positioning-error detection can support repeatable mammography quality control and reduce avoidable workflow variability.

Contribution

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Method overview

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Key findings

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Citation

Bhandary Panambur A, Fieselmann A, Biniazan R, Hummer C, Kappler S, Bayer S, Maier A. (2025). Towards Improving Mammography Quality: CNN Models for Skin Fold Positioning Error Classification. Journal submission.

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