Manuscript Topics

With the progress of new technologies, cancer detection, diagnosis and treatment have obtained great development. However, cancer is still a big threat to human life and main cause of human death. The statistics from the World Health Organization (WHO) shows that cancers account for nearly 10 million deaths in 2020, or nearly one in six deaths. Fighting against cancers is still a main task of many researchers.

Artificial intelligence-based cancer detection has obtained great progress in the past decades and the deep research on deep learning techniques has brought revolution to cancer detection. Computer-aided detection or diagnosis (CAD) systems based on deep learning have been proven to offer better solutions to the detection and diagnosis of different types of cancers. However, the performance of many current CAD systems can’t meet the needs of real applications. Thus, how to improve the performance of the CAD systems is still a key issue for real applications. Thus, to improve the performance of the current CAD systems, further research of different key technologies used in different CAD systems has become important and necessary.

The aim of this special issue is to attract high-quality papers in key technologies used in different computer aided cancer detection and diagnosis systems. We hope the special issue can push the progress of novel key technologies which could be used to further improve the performance of the current computer aided cancer detection systems.

Topics of interest include, but are not limited, to the ones listed as follows:
• New machine learning techniques for cancer detection
• Fusion of different imaging Multimodality for cancer detection
• Cancer detection with mobile device
• Lesson segmentation
• Image enhancement techniques for cancer detection

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