[HTML][HTML] Machine learning and transfer learning techniques for accurate brain tumor classification

SM Malakouti, MB Menhaj, AA Suratgar - Clinical eHealth, 2024 - Elsevier
Brain tumors, resulting from uncontrolled and rapid cell growth, pose significant health risks
if not treated early. Despite numerous advancements, accurate segmentation and …

Glaucoma detection with explainable AI using convolutional neural networks based feature extraction and machine learning classifiers

VK Velpula, D Sharma, LD Sharma, A Roy… - IET Image …, 2024 - Wiley Online Library
Glaucoma is an eye disease that damages the optic nerve as a result of vision loss, it is the
leading cause of blindness worldwide. Due to the time‐consuming, inaccurate, and manual …

Retinal Blood Vessels Segmentation With Improved SE‐UNet Model

Y Wan, G Wei, R Li, Y Xiang, D Yin… - … Journal of Imaging …, 2024 - Wiley Online Library
Accurate segmentation of retinal vessels is crucial for the early diagnosis and treatment of
eye diseases, for example, diabetic retinopathy, glaucoma, and macular degeneration. Due …

Dermo‐Optimizer: Skin Lesion Classification Using Information‐Theoretic Deep Feature Fusion and Entropy‐Controlled Binary Bat Optimization

T Akram, A Alsuhaibani, MA Khan… - … Journal of Imaging …, 2024 - Wiley Online Library
Increases in the prevalence of melanoma, the most lethal form of skin cancer, have been
observed over the last few decades. However, the likelihood of a longer life span for …

Human emotion recognition using Machine learning techniques based on the physiological signal

A Kumar, A Kumar - Biomedical Signal Processing and Control, 2025 - Elsevier
Background The study of physiological signals-based emotion detection–
Electroencephalograms (EEG), Electrocardiograms (ECG), and Galvanic Skin Reactions …

FuNet-40: fundus disease/abnormality classification using ensemble of fine-tuned pretrained convolution models

A Mittal, Anusurya, S Gupta, V Srivastava… - Computer Methods in …, 2024 - Taylor & Francis
Age-related macular diseases (AMD) are common reason for visual impairment in humans.
These anomalies can result from a variety of illnesses and disorders. Currently, skilled …

Computer vision for eye diseases detection using pre‐trained deep learning techniques and raspberry Pi

A Al‐Naji, GA Khalid, MF Mahmood… - The Journal of …, 2024 - Wiley Online Library
Early diagnosis of eye diseases is very important to prevent visual impairment and guide
appropriate treatment methods. This paper presents a unique approach that can detect …

ENHANCING CNN PERFORMANCE WITH RIGHT-NEIGHBOR DEVIATION (RND) POOLING: A FOCUS ON MULTI-CLASS BRAIN TUMOR CLASSIFICATION IN MRI …

A Chaudhary, K Mittal, B Tejpal, K Thakur… - Biomedical …, 2024 - World Scientific
In recent years, the field of image processing and computer vision has been deeply
transformed by the advent of Convolutional Neural Network (CNN). These deep learning …