The happening of computer-aided disease has undergone a significant conversion from multiple aspects. In the past, it was only secondhand by radiology departments, but now it has extended to almost every dispassionate specialty's imaging practices. It influences dispassionate diagnosis by analyzing the connection between images and ailments, as well as their categorization and retrieval. Deep learning-located convolutional neural networks or vision transformers are more leading the development in this place field. This chapter introduces appropriate topics on image acknowledgment for colonoscopy and colorectal cancer, including the launch of several articles containing the early estimation of cancer by melanosis coli, the categorization of polyp, and the presentation utilizing content-based image recovery.
Author(s) Details:
Chung-Ming Lo,
National
Chengchi University, Taiwan.
Please see the link here: https://stm.bookpi.org/NAMMS-V8/article/view/11074
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