Application of Machine Learning Algorithms for High-Accuracy Image Segmentation in Medical Imaging

Fatima Ibrahim Al-Saad ; Mohammed Abdullah Al-Hakim
International Journal of Electrical Engineering, M... 📅 2024 Vol 1, No 1 🔗 DOI: 10.62951/ijeemcs.v1i1.72
Abstract
Accurate image segmentation is a pivotal process in medical imaging, essential for supporting diagnosis, treatment planning, and monitoring disease progression. This study evaluates the effectiveness of machine learning algorithms, including U-Net, Fully Convolutional Networks (FCNs), and Mask R-CNN, in achieving high-precision segmentation of medical images. Experimental results demonstrate that these models significantly enhance segmentation accuracy, enabling more precise diagnostic outcomes in clinical settings and advancing the development of automated medical imaging technologies.
Keywords
Machine learning; image segmentation; medical imaging; U-Net; Fully Convolutional Networks; Mask R-CNN; diagnosis accuracy
How to Cite

Fatima Ibrahim Al-Saad & Mohammed Abdullah Al-Hakim (2024). Application of Machine Learning Algorithms for High-Accuracy Image Segmentation in Medical Imaging. International Journal of Electrical Engineering, Mathematics and Computer Science, 1(1). https://doi.org/10.62951/ijeemcs.v1i1.72

Fatima Ibrahim Al-Saad; Mohammed Abdullah Al-Hakim, "Application of Machine Learning Algorithms for High-Accuracy Image Segmentation in Medical Imaging," International Journal of Electrical Engineering, Mathematics and Computer Science, vol. 1, no. 1, 2024.

Fatima Ibrahim Al-Saad; Mohammed Abdullah Al-Hakim. "Application of Machine Learning Algorithms for High-Accuracy Image Segmentation in Medical Imaging." International Journal of Electrical Engineering, Mathematics and Computer Science, vol. 1, no. 1, 2024.

Fatima Ibrahim Al-Saad; Mohammed Abdullah Al-Hakim. "Application of Machine Learning Algorithms for High-Accuracy Image Segmentation in Medical Imaging." International Journal of Electrical Engineering, Mathematics and Computer Science 1, no. 1 (2024).

Fatima Ibrahim Al-Saad & Mohammed Abdullah Al-Hakim (2024) 'Application of Machine Learning Algorithms for High-Accuracy Image Segmentation in Medical Imaging', International Journal of Electrical Engineering, Mathematics and Computer Science, 1(1). doi: 10.62951/ijeemcs.v1i1.72.

Fatima Ibrahim Al-Saad; Mohammed Abdullah Al-Hakim. Application of Machine Learning Algorithms for High-Accuracy Image Segmentation in Medical Imaging. International Journal of Electrical Engineering, Mathematics and Computer Science. 2024;1(1).

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