Reformed histogram equalization with Tasmanian devil optimization and hybrid MDHNN-MLP for lung tumor detection

Key Points

• Lung tumor detection accuracy improved with optimized histogram equalization and advanced neural networks.
• Neural networks achieve performance improvements, showing a precision increase of up to 25%.
• Assessment involves a hybrid model combining multiple neural network architectures and optimization algorithms.
• Further validation in real-world scenarios is needed to ensure broader applicability and performance.