Special issue on deep neural networks for biomedical data and imaging.

The final article by Yuan et al. (2022) explores the adoption value of deep learning combined with computed tomography (CT) imaging omics in the prediction of metastatic lymph nodes of nasopharyngeal carcinoma (NPC). Here, the key questions for understanding the performance of such deep neural networks could be (1) How effective can these neural networks detect a disease, via biomedical imaging? The next paper by Mansour et al. (2022) presents a novel AI based fusion model for CRC disease diagnosis and classification, named AIFM-CRC. [Extracted from the article]