Brain tumor classification from MRI using image enhancement and convolutional neural network techniques
The independent detection and classification of brain malignancies using magnetic
resonance imaging (MRI) can present challenges and the potential for error due to the …
resonance imaging (MRI) can present challenges and the potential for error due to the …
TumorDetNet: A unified deep learning model for brain tumor detection and classification
Accurate diagnosis of the brain tumor type at an earlier stage is crucial for the treatment
process and helps to save the lives of a large number of people worldwide. Because they …
process and helps to save the lives of a large number of people worldwide. Because they …
WBM-DLNets: wrapper-based metaheuristic deep learning networks feature optimization for enhancing brain tumor detection
This study presents wrapper-based metaheuristic deep learning networks (WBM-DLNets)
feature optimization algorithms for brain tumor diagnosis using magnetic resonance …
feature optimization algorithms for brain tumor diagnosis using magnetic resonance …
A robust computer-aided automated brain tumor diagnosis approach using pso-relieff optimized gaussian and non-linear feature space
Brain tumors are among the deadliest diseases in the modern world. This study proposes an
optimized machine-learning approach for the detection and identification of the type of brain …
optimized machine-learning approach for the detection and identification of the type of brain …
BU-DLNet: Breast Ultrasonography-Based Cancer Detection Using Deep-Learning Network Selection and Feature Optimization
Early detection of breast lesions and distinguishing between malignant and benign lesions
are critical for breast cancer (BC) prognosis. Breast ultrasonography (BU) is an important …
are critical for breast cancer (BC) prognosis. Breast ultrasonography (BU) is an important …
[HTML][HTML] Integrating Convolutional Neural Networks with Attention Mechanisms for Magnetic Resonance Imaging-Based Classification of Brain Tumors
The application of magnetic resonance imaging (MRI) in the classification of brain tumors is
constrained by the complex and time-consuming characteristics of traditional diagnostics …
constrained by the complex and time-consuming characteristics of traditional diagnostics …
Deep Learning-Enhanced Small-Sample Bearing Fault Analysis Using Q-Transform and HOG Image Features in a GRU-XAI Framework
Timely prediction of bearing faults is essential for minimizing unexpected machine downtime
and improving industrial equipment's operational dependability. The Q transform was …
and improving industrial equipment's operational dependability. The Q transform was …
An Investigative approach on the prediction of Isocitrate dehydrogenase (idh1) mutations and co-deletion of 1p19q in glioma brain tumors
DS Wankhede, CJ Shelke - … Conference on Intelligent Systems Design and …, 2022 - Springer
Abstract BACKGROUND-Isocitrate dehydrogenase (IDH)-wildtype, IDH-mutant and no
1p/19q codeletion, and IDH-mutant and 1p/19q-codeleted are the three categories of WHO …
1p/19q codeletion, and IDH-mutant and 1p/19q-codeleted are the three categories of WHO …
A Deep Dive into the Nexus between Digital Health and Life Sciences Amidst the COVID-19 Pandemic: An Editorial Expedition
D Giansanti - Life, 2023 - mdpi.com
The idea of developing this Special Issue was born when the COVID-19 pandemic was still
having a major impact on the health of the planet [2]. As is well known, digital health (DH) …
having a major impact on the health of the planet [2]. As is well known, digital health (DH) …