Brain tumor recognition from multimodal magnetic resonance images using wavelet texture features and optimized artificial neural network
AK Yadav, V Yadav - Multimedia Tools and Applications, 2024 - Springer
Magnetic resonance (MR) images are commonly used for quantitative analysis and
diagnosis of various diseases. An optimized wavelet-based textural feature model for the …
diagnosis of various diseases. An optimized wavelet-based textural feature model for the …
An efficient tomato diseases detection and classification methodology using CNN Deep Learning Network
In this paper, an efficient methodology for detecting and classifying tomato diseases using a
Convolutional Neural Network (CNN) deep learning network is presented as an efficient …
Convolutional Neural Network (CNN) deep learning network is presented as an efficient …
Exploring the Efficacy of Machine Learning Models for Brain Tumor Detection with Binary Classification
The main objective of this research is to examine the utilization of artificial intelligence
models, such as K-Nearest Neighbours (KNN), Logistic Regression, and Neural Networks …
models, such as K-Nearest Neighbours (KNN), Logistic Regression, and Neural Networks …