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Clinically applicable Gleason grading(GD)system for prostate cancer based on deep learning
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作者 Yun Niu can-cheng liu +7 位作者 Bing-Lin Zhang Zhi-Gang Song Huang Chen Ping-Ping liu Jing-Si Chen Shu-Hao Wang Huai-Yin Shi Ding-Rong Zhong 《Chinese Medical Journal》 SCIE CAS CSCD 2021年第7期859-861,共3页
To the Editor:Prostate cancer is one of the most common malignant tumors of the male genital system,with approximately 1.1 million new cases in 2012.[1]The accurate diagnosis of prostate cancer leads to a better chanc... To the Editor:Prostate cancer is one of the most common malignant tumors of the male genital system,with approximately 1.1 million new cases in 2012.[1]The accurate diagnosis of prostate cancer leads to a better chance of successful treatment when it is still confined to the prostate gland.The Gleason grading(GD)system was first established by Donald Gleason during 1966 to 1974.[2,3]The Gleason pattern ranges from 1 to 5.A higher score corresponds to poorer differentiation,which indicates a worse prognosis and higher metastasis possibility.The total score is calculated with the first half of the dominant Gleason pattern and the second half based on the non-dominant one. 展开更多
关键词 CANCER DIAGNOSIS PATTERN
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