Medical image diagnosis based on adaptive Hybrid Quantum CNN.

ABSTRACT: Hybrid quantum systems have shown promise in image classification by combining the strengths of both classical and quantum algorithms. These systems leverage the parallel processing power of quantum computers to perform complex computations while utilizing classical algorithms to handle the vast amounts of data involved in imaging. The hybrid approach is intended to improve accuracy and speed compared to traditional classical methods. Further research and development in this area can revolutionize the way medical images are classified and help improve patient diagnosis and treatment. The use of Conventional Neural Networks (CNN) for the classification and diagnosis of medical images using big datasets requires, in most cases, the use of special high-performance computing machines, which ar

SUBMITTER: Ajlouni N 

PROVIDER: S-EPMC10500912 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature