BrainCDNet: a concatenated deep neural network for the detection of brain tumors from MRI images
Introduction Brain cancer is a frequently occurring disease around the globe and mostly
developed due to the presence of tumors in/around the brain. Generally, the prevalence and …
developed due to the presence of tumors in/around the brain. Generally, the prevalence and …
BRAIN TUMOR PREDICTION VIA MODIFIED DEEP CONVOLUTIONAL ALEXNET WITH TRANSFER LEARNING WITH COLOR, TEXTURE, AND STATISTICAL …
K Chiranjeevi, G Victo Sudha George - … : Applications, Basis and …, 2024 - World Scientific
A brain tumor is a gathering of abnormal cells in the brain, forming a mass. In 2018,
approximately 80,000 new instances of primary brain tumors were documented. Certain …
approximately 80,000 new instances of primary brain tumors were documented. Certain …
MEG AND PET IMAGES-BASED BRAIN TUMOR DETECTION USING KAPUR'S OTSU SEGMENTATION AND SOOTY OPTIMIZED MOBILENET CLASSIFICATION
A APPATHURAI, ASI TINU… - REVUE ROUMAINE …, 2024 - journal.iem.pub.ro
Deep learning techniques have revolutionized medical image analysis recently, particularly
in brain tumor (BT) detection. A comprehensive overview of the advancements and …
in brain tumor (BT) detection. A comprehensive overview of the advancements and …
Classification and Detection of Brain Tumors in MRI Images Using Machine Learning Techniques
This research focused on utilizing machine learning techniques to detect and classify for the
identification of brain tumors in magnetic resonance images (MRI). The research aimed to …
identification of brain tumors in magnetic resonance images (MRI). The research aimed to …