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What is Histological Analysis

Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care
The microscopic examination of tissue samples to study the manifestations of disease. In the context of brain tumors, histological analysis helps in identifying the specific type of tumor and its characteristics based on the appearance of the cells.
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)
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.
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