A fine tune robust transfer learning based approach for brain tumor detection using VGG-16
Brain tumor recognition by magnetic resonance imaging (MRI) is crucial because it improves
survival rates and allows them to plan treatments accordingly. An accumulation of abnormal …
survival rates and allows them to plan treatments accordingly. An accumulation of abnormal …
BrainNet-7: A CNN Model for Diagnosing Brain Tumors from MRI Images based on an Ablation Study
S Akter, AB Akhi - International Journal of Advanced …, 2022 - search.proquest.com
Tumors in the brain are masses or clusters of abnormal cells that may spread to other
tissues nearby and pose a danger to the patient. The main imaging technique used to …
tissues nearby and pose a danger to the patient. The main imaging technique used to …
A Fractal Based Machine Intelligence Approach For The Classification Of Brain Tumor Magnetic Resonance Imaging Images
Brain tumor (BT) is considered as a major concern throughout the globe. The survivability of
the patient is a challenging task if the BT is in a severe stage. It is very much essential for the …
the patient is a challenging task if the BT is in a severe stage. It is very much essential for the …