A user-friendly deep learning application for accurate lung cancer diagnosis
CONCLUSIONS: The model provided means for storing and updating patients' data directly on the interface which allowed the results to be readily available for the health care providers. The developed system will improve clinical communication and information exchange. Moreover, it can manage efforts by generating correlated and coherent summaries of cancer diagnoses.PMID:38607727 | DOI:10.3233/XST-230255
Source: Journal of X-Ray Science and Technology - Category: Radiology Authors: Duong Thanh Tai Nguyen Tan Nhu Pham Anh Tuan Abdelmoneim Suleiman Hiba Omer Zahra Alirezaei David Bradley James C L Chow Source Type: research
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