Tumor diagnosis against other brain diseases using T2 MRI brain images and CNN binary classifier and DWT
TN Papadomanolakis, ES Sergaki, AA Polydorou… - Brain Sciences, 2023 - mdpi.com
Purpose: Brain tumors are diagnosed and classified manually and noninvasively by
radiologists using Magnetic Resonance Imaging (MRI) data. The risk of misdiagnosis may …
radiologists using Magnetic Resonance Imaging (MRI) data. The risk of misdiagnosis may …
A statistical analysis of an image classification problem
S Langer, J Schmidt-Hieber - arXiv preprint arXiv:2206.02151, 2022 - arxiv.org
The availability of massive image databases resulted in the development of scalable
machine learning methods such as convolutional neural network (CNNs) filtering and …
machine learning methods such as convolutional neural network (CNNs) filtering and …
Understanding Dilated Mathematical Relationship between Image Features and the Convolutional Neural Network's Learnt Parameters
E Alsaghir, X Shi, V De Silva, A Kondoz - Entropy, 2022 - mdpi.com
Deep learning, in general, was built on input data transformation and presentation, model
training with parameter tuning, and recognition of new observations using the trained model …
training with parameter tuning, and recognition of new observations using the trained model …