[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 …
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
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 …
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 …
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
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 …
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 …
Electroencephalograms (EEG), Electrocardiograms (ECG), and Galvanic Skin Reactions …
FuNet-40: fundus disease/abnormality classification using ensemble of fine-tuned pretrained convolution models
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 …
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
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 …
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 …
transformed by the advent of Convolutional Neural Network (CNN). These deep learning …