Another form of glioma that originates from astrocytes, the star-shaped glial cells in the brain and spinal cord. Astrocytomas can vary greatly in their aggressiveness, ranging from low-grade (slow-growing) to high-grade (rapidly growing and more malignant), with glioblastoma being the most aggressive form.
Published in Chapter:
Hybrid Intelligent Diagnosis: Differentiating Oligodendroglioma and Astrocytoma Through Combined Radiology and Pathology Using DL
Bhargavi Maridu (Vignan's Foundation for Science Technology and Research, India),
Renugadevi R. (Vignan's Foundation for Science Technology and Research, India),
Shareefunnisa Syed (Vignan's Foundation for Science Technology and Research, India), and
Sajida Sultana S. K. (Vignan's Foundation for Science Technology and Research, India)
Copyright: © 2024
|Pages: 25
DOI: 10.4018/979-8-3693-7462-7.ch011
Abstract
The chapter presents a novel approach in medical diagnostics, focusing on differentiating oligodendroglioma and astrocytoma through a hybrid intelligent system. This method integrates deep learning with radiology and pathology imaging to enhance tumor diagnosis. Convolutional neural networks (CNNs) analyze MRI and CT scans alongside microscopic slides, providing a comprehensive understanding of tumors. By leveraging both radiology and pathology, this method offers a precise diagnostic tool, with a significant improvement in accuracy compared to traditional methods. Especially effective in complex cases, our approach showcases the potential of hybrid intelligent systems for accurate, efficient, and automated diagnostics, not only in brain tumor diagnosis but across medical imaging and diagnostics in general.