| 标题 |
 Deep neural networks assisted diagnosis for metastatic pelvic lymph nodes 相关领域
医学
外科肿瘤学
直肠疾病
普通外科
直肠
结直肠外科
家庭医学
内科学
腹部外科
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| 网址 | |
| DOI | |
| 其它 | Purpose/Background: The incidence rate of rectal cancer, especially in China, is rising. Pelvic magnetic resonance imaging has become the gold standard to determine lymph node metastasis. The traditional method is that imaging specialists read MRI to determine if a patient has lymph node metastasis by observing shape, boundary and signal intensity of lymph nodes. It is difficult to make a right and timely judgment in a short time, especially when they are faced with a large number of cases. The development of deep learning technology makes it possible to detect the target area in an image through image recognition technology. The deep learning algorithm developed by Stanford University is on a par with professional dermatologists in accurate recognition rate of skin cancer, but there is no report on MRI imaging related to rectal cancer. Imaging diagnosis of lymph node metastasis is more sophisticated than substantial lump diagnosis and directly affects the N staging. |
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(2025-6-4)
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