[HTML][HTML] An automated metaheuristic-optimized approach for diagnosing and classifying brain tumors based on a convolutional neural network

M Aljohani, WM Bahgat, HM Balaha… - Results in …, 2024 - Elsevier
Brain tumors must be classified to determine their severity and appropriate therapy. Applying
Artificial Intelligence to medical imaging has enabled remarkable developments. The …

Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning

A Shaikh, S Amin, MA Zeb, A Sulaiman… - Computers in Biology …, 2025 - Elsevier
Brain tumors (BT), both benign and malignant, pose a substantial impact on human health
and need precise and early detection for successful treatment. Analysing magnetic …

[HTML][HTML] Enhancing rop plus form diagnosis: an automatic blood vessel segmentation approach for newborn fundus images

J Almeida, J Kubicek, M Penhaker, M Cerny… - Results in …, 2024 - Elsevier
Abstract Background ROP Plus Form is an eye disease that can lead to blindness, and
diagnosing it requires medical experts to manually examine the retinal condition. This task is …

[HTML][HTML] An innovative deep learning framework for skin cancer detection employing ConvNeXtV2 and focal self-attention mechanisms

B Ozdemir, I Pacal - Results in Engineering, 2025 - Elsevier
The skin, the body's largest organ, plays a critical role in protection and regulation, making
its health essential. Skin cancer, one of the most prevalent malignancies, continues to rise …

[HTML][HTML] Deep hybrid architecture with stacked ensemble learning for binary classification of retinal disease

C Priyadharsini - Results in Engineering, 2024 - Elsevier
Purpose Early retinal disease identification is vital since symptoms are passive at initial
stages but lead to irreversible vision loss at advanced stages. Globally, a substantial …

[HTML][HTML] Detection and classification on MRI images of brain tumor using YOLO NAS deep learning model

MS Mithun, SJ Jawhar - Journal of Radiation Research and Applied …, 2024 - Elsevier
If a brain tumor is not properly diagnosed, it might result in fatal consequences and major
health issues. As a result, a key component of diagnosis is the early identification of brain …

[HTML][HTML] Brain tumor detection across diverse MR images: An automated triple-module approach integrating reduced fused deep features and machine learning

Y Pande, J Chaki - Results in Engineering, 2025 - Elsevier
Brain tumors pose a significant threat to human health due to their potential to disrupt normal
brain function. Early and accurate detection is crucial for effective treatment. This study …

[HTML][HTML] Enhancing Road Traffic Flow Prediction with Improved Deep Learning using Wavelet Transforms

F Harrou, A Zeroual, F Kadri, Y Sun - Results in Engineering, 2024 - Elsevier
Precise traffic flow prediction is a central component of advancing intelligent transportation
systems, providing essential insights for optimizing traffic management, reducing travel …

[HTML][HTML] SAlexNet: Superimposed AlexNet using Residual Attention Mechanism for Accurate and Efficient Automatic Primary Brain Tumor Detection and Classification

SA Qureshi, T Sadiq, A Usman, A Khawar… - Results in …, 2025 - Elsevier
Accurate classification of brain tumors is crucial for informing clinical diagnoses and guiding
patient treatment plans. It is one of the most aggressive tumors, leading to a short life …

Automated brain tumor recognition using equilibrium optimizer with deep learning approach on MRI images

M Ragab, I Katib, SA Sharaf, HA Alterazi, A Subahi… - Scientific Reports, 2024 - nature.com
Brain tumours (BT) affect human health owing to their location. Artificial intelligence (AI) is
intended to assist in diagnosing and treating complex diseases by combining technologies …