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A Survey on Deep Learning for Precision Oncology
2022
Diagnostics
Precision oncology, which ensures optimized cancer treatment tailored to the unique biology of a patient's disease, has rapidly developed and is of great clinical importance. Deep learning has become the main method for precision oncology. This paper summarizes the recent deep-learning approaches relevant to precision oncology and reviews over 150 articles within the last six years. First, we survey the deep-learning approaches categorized by various precision oncology tasks, including the
doi:10.3390/diagnostics12061489
pmid:35741298
pmcid:PMC9222056
fatcat:2qgvdz4x7rejxkwgoascxk77ke