Advances in Medical Image Processing, Segmentation and Classification

Advances in Medical Image Processing, Segmentation and Classification

Public health
Health - Public

Medical data typically include physiological signals, diagnostic images, and treatment histories, offering essential insights into patient conditions and outcomes. Computer-aided diagnosis (CAD) systems—used for detection, segmentation, and classification—are now key components of clinical workflows. These systems apply image processing techniques to ensure accurate analysis across CT, MRI, X-ray, and ultrasound scans. Artificial intelligence (AI), especially machine learning and deep learning, has further advanced CAD by enabling automated, accurate disease detection.

Wan Azani Mustafa,
Hiam Alquran

https://mdpi-res.com/bookfiles/book/11088/Advances_in_Medical_Image_Processing_Segmentation_and_Classification.pdf?v=1774919512

MDPI - Multidisciplinary Digital Publishing Institute

2025

Mustabsyirah

Creative Commons

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English

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