Automatic multiple disease prediction approach using optimized convolutional neural network layers
The experimental results show that the proposed ADDA model outperforms many state-of-the-art DL models with an average accuracy improvement of 4.89% and a computational time reduction by 22.78%, proving that the suggested lightweight multimodal framework is a viable and computationally efficient option for automated lu...