Improved colorization and classification of intracranial tumor expanse in MRI images via hybrid scheme of Pix2Pix-cGANs and NASNet-large

Improved colorization and classification of intracranial tumor expanse in MRI images via hybrid scheme of Pix2Pix-cGANs and NASNet-large

Clinical image processing plays a significant role in healthcare systems and is a widely used methodology of the current era. The Intracranial tumor affects children and adults as it is the 10th most common form of tumor. Accurate tumor segmentation in the brain is complicated even though Intracrani...

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Bibliographic Details
Main Authors: Mavra Mehmood, Nasser Alshammari, Saad Awadh Alanazi, Asma Basharat, Fahad Ahmad, Muhammad Sajjad, Kashaf Junaid
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Medical imaging
Intracranial tumor
Magnetic resonance imaging
Detection
Segmentation
Colorization
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157822001641

Internet

http://www.sciencedirect.com/science/article/pii/S1319157822001641

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