Different pre-trained deep learning models, namely, InceptionResNetv2, Inceptionv3, and ResNet50 are considered and compared for the task of brain tumor detection from magnetic resonance images. The ...

This study proposed the CNN-based hybrid deep learning model CNN-LSTM to classify the brain tumors using the MR brain tumor ... C., and Ezhumalai, P. (2022). An approach for brain tumor detection ...

Study: Deep learning and transfer learning for brain tumor detection and classification.Image Credit: Elif Bayraktar/Shutterstock.com. In a recent study published in Biology Methods and Protocols ...

The proposed approach achieves a high accuracy of 99.16% using limited data and low-computation devices. The cascaded network leverages five popular CNN models for feature extraction, Bacterial ...

A brain surgeon performed what he called a "life-saving" surgery on a teenager by removing a large brain tumor using a method he read about on CNN.com just three days earlier.

Brain cancer is among the most fatal diseases globally, ... The cascaded network leverages five popular CNN models for feature extraction, Bacterial Foraging Optimization (BFO) for optimal feature ...