[HTML][HTML] Improving Brain Tumor Classification: An Approach Integrating Pre-Trained CNN Models and Machine Learning Algorithms
Accurate detection of brain tumors is crucial for enhancing patient outcomes, yet the
interpretation of Magnetic Resonance Imaging (MRI) scans poses significant challenges …
interpretation of Magnetic Resonance Imaging (MRI) scans poses significant challenges …
Segmentation and Classification of Diabetic Retinopathy using Ensemble Deep Neural Network
Diabetic Retinopathy (DR) is an eye ailment in diabetics, often causing vision loss. Timely
retinal screenings can help prevent blindness. While DR cannot be cured, early detection …
retinal screenings can help prevent blindness. While DR cannot be cured, early detection …
Efficient Categorization of Pneumonia Diagnosis Using Low-Power Embedded Devices
The lungs are integral to facilitating the respiratory processes crucial for human survival.
However, lung infections can pose severe threats to human health. In medical diagnostics …
However, lung infections can pose severe threats to human health. In medical diagnostics …