Can You Determine the Cause of This Patient's Skin Changes?

Sra Kurtin

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Can You Determine the Cause of This Patient's Skin Changes?

机译：您能确定该患者皮肤变化的原因吗？

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Mr. M. is an 80-year-old African American male with a long-standing history of low-back pain, urinary incontinence, and intermittent stool incontinence following external beam radiation for treatment of stage TIC prostate cancer. Additional medical history includes hypertension and diabetes with existing peripheral neuropathy. He developed progressive low-back pain with radiation to the right buttocks and posterior thigh. A CT of the pelvis revealed an S3 sacral meningocele, extending anteriorly, inferiorly, and posteriorly, with the largest dimensions being approximately 10.2 x 11.0 cm. He underwent laparoscopic loop colostomy followed by resection of the meningocele. Pathology demonstrated a pooly differentiated ad-enocarcinoma consistent with a rectosig-moid primary, with tumor present at the distal surgical margins.

机译：M.先生是一位80岁的非洲裔美国男性，长期从事外照射治疗TIC前列腺癌后的腰痛，尿失禁和间歇性大便失禁的病史。其他病史包括高血压和糖尿病，并伴有周围神经病变。随着放射到右臀部和大腿后部，他逐渐发展为腰背痛。骨盆CT显示S3骨脑膜膨出，向前，向后和向后延伸，最大尺寸约为10.2 x 11.0 cm。他接受了腹腔镜环结肠造瘘术，随后切除了脑膜膨出。病理证实为与直肠窦样原发灶一致的合并分化的腺癌，远端手术切缘处有肿瘤。

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《Journal of the advanced practitioner in oncology》 |2012年第5期|共2页
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Sra Kurtin;
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正文语种 eng
中图分类肿瘤学;
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7. Figure 3: Proposed approach: (A) The skin lesion image is firstly converted to grayscale, after which the skin lesion is segmented and smoothed, lesion border (edge) detected, and the lesion irregularity measure derived. (B) A CNN is trained on the smoothed segmented image, skin lesion border, and the skin lesion irregularity measure. (C) A Gaussian naive Bayes is trained on the irregularity measure. (D) The generated models are used to predict class probabilities, and a threshold is eventually used to determine the final decision (regular or irregular skin lesion border). [O] . -1

机译：图3：所提出的方法：（a）将皮肤病变图像首先转化为灰度，之后将皮肤病变分段和平滑，检测到病变边界（边缘），并且衍生病变不规则性测量。（b）CNN在平滑的分段图像，皮肤病变边界和皮肤病原不规则测量上培训。（c）高斯天真贝叶斯在不规则措施上培训。（d）所生成的模型用于预测类概率，最终最终用于确定最终决定（常规或不规则的皮肤病变边界）。

Can You Determine the Cause of This Patient's Skin Changes?

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