NCT-CXR: Enhancing Pulmonary Abnormality Segmentation on Chest X-Rays Using Improved Coordinate Geometric Transformations

Medical image segmentation, especially in chest X-ray (CXR) analysis, encounters substantial problems such as class imbalance, annotation inconsistencies, and the necessity for accurate pathological region identification. This research aims to improve the precision and clinical reliability of pulmon...

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Autores principales:	Abu Salam, Pulung Nurtantio Andono, Purwanto, Moch Arief Soeleman, Mohamad Sidiq, Farrikh Alzami, Ika Novita Dewi, Suryanti, Eko Adhi Pangarsa, Daniel Rizky, Budi Setiawan, Damai Santosa, Antonius Gunawan Santoso, Farid Che Ghazali, Eko Supriyanto
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-06-01
Colección:	Journal of Imaging
Materias:	chest X-ray pulmonary abnormalities coordinate transformation data augmentation geometric transformation multi-label segmentation
Acceso en línea:	https://www.mdpi.com/2313-433X/11/6/186
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