Performance analysis of state‐of‐the‐art CNN architectures for brain tumour detection

HMT Khushi, T Masood, A Jaffar… - … Journal of Imaging …, 2024 - Wiley Online Library
Deep learning models, such as convolutional neural network (CNN), are popular now a day
to solve various complex problems in medical and other fields, such as image classification …

Dual path parallel hierarchical diagnosis model for intracranial tumors based on multi-feature entropy weight

L Fang, Y Jiang - Computers in Biology and Medicine, 2024 - Elsevier
The grading diagnosis of intracranial tumors is a key step in formulating clinical treatment
plans and surgical guidelines. To effectively grade the diagnosis of intracranial tumors, this …

Cerebral hemorrhage extraction with modified shuffled frog leaping algorithm based on the blood clot clustering

L Fang, Y Jiang - Multimedia Tools and Applications, 2024 - Springer
Rapid extraction of brain lesions can help doctors speed up clinical diagnosis and provide
help for follow-up treatment. The spatial location, shape, and distribution of Cerebral …

[PDF][PDF] Batch Normalization Based Convolutional Neural Network for Segmentation and Classification of Brain Tumor MRI Images.

G Bompem, D Pandluri - International Journal of Intelligent Engineering & …, 2024 - inass.org
The uncontrolled growth of cells in human brain can lead to the formation of tumors, which
can occur in all age people. The tumor in brain can affect nerve cells, soft tissues and blood …

[PDF][PDF] Evaluation of Marine Currents Energy Plant Using DETMAL MCDM Method

MR Kurinjimalar Ramu, M Mani - 2022 - researchgate.net
The world has an increasing demand for energy; Natural building blocks include air,
sunlight, hydrogen and water As a result of changes in kinetic energy, Renewable energy …

[PDF][PDF] Evaluation of Heterogeneous Wireless Network Using MOORA Method

M Mani, M Ramachandran, N Murali - 2022 - academia.edu
Device-to-device (D2D) and heterogeneous networks are key to the success of 5G networks.
Multimodal networks consist of fixed location base stations/small cells, each of which may …

Hybrid weighted mean of vectors with multiply strategies and its applicatiion

Y Li, S Song, R Su - International Conference on Electronic …, 2023 - spiedigitallibrary.org
According to the shortcomings of the weighted mean of vectors, such as low convergence
accuracy and easy to fall into local optimization at the end of iteration, a hybrid weighted …