Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm

By El-Sayed A. El-Dahshan, Heba M. Mohsen, Kenneth Revett, Abdel-Badeeh M. Salem. Expert systems with applications, 2014

637 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology, Neurology

View Paper: https://www.semanticscholar.org/paper/03d67da60612e60692b0bfdac1eedadc0a98905d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Sharareh R. Niakan Kalhori
2. Hamidreza Keshavarz
3. Soheila Saeedi
4. Sorayya Rezayi

Citations in the corpus

• MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques (2023, methodology): “Four ReLU layers and three max-pooling layers were used in the proposed CNN with stride size [2, 2].”