Detecting Lesions

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Detecting Lesions

机译：检测病变

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Detection of UV-induced lesions in cellular DNA, which are associated with mutagenic and carcinogenic risks, by using a a new fluorescent probe is reported by Shu Wang and co-workers.rnThe most abundant lesions, the cyclobutane pyrimidine dimer (CPD) and [6-4] photoproduct pyrimidine-pyrimidone dimer (PPD) lesions, occur between adjacent thymine bases. Traditional methods require high con-rncentrations of DNA because of their fairly low sensitivity, or inconvenient labor-intensive radioisotope processing steps.

机译：王Wang及其同事报道了通过使用新型荧光探针检测细胞DNA中紫外线诱发的与诱变和致癌风险有关的损伤。最丰富的损伤是环丁烷嘧啶二聚体（CPD）和[6 -4]的光产物嘧啶-嘧啶二聚体（PPD）病变发生在相邻的胸腺嘧啶碱基之间。传统方法由于其相当低的灵敏度或不便的劳动密集型放射性同位素处理步骤而需要高浓度的DNA。

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《Advanced Functional Materials》 |2009年第1期|A1-A1|共1页
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1. Additional fVIaiignant Breast Lesions Detected on Second-Look US After Breast MRI vs. Additional Malignant Lesions Detected on initial US in Breast Cancer Patients* Comparison of US Characteristics [J] . V. Y. Park, M. J. Kim, H. J. Moon, Ultraschall in der Medizin: Organ der Deutschen Gesellschaft fu?r Ultraschall in der Medizin, [der] O?sterreichischen Gesellschaft fu?r Ultraschall in der Medizin, [der] Schweizerischen Gesellschaft fu?r Ultraschall in Medizin und Biologie . 2014,第5期

机译：乳腺癌MRI后在第二次超声检查中发现的其他重要乳腺病变与乳腺癌患者在初始US检查中发现的其他恶性病变*美国特征比较
2. Can we predict lesion detection rates in second-look ultrasound of MRI-detected breast lesions? A systematic analysis [J] . Bumberger Alexander, Clauser Paola, Kolta Michael, European Journal of Radiology . 2019,第期

机译：我们可以预测MRI检测到的乳房病变的二看超声中的病变检测率吗？系统分析
3. Gallbladder polypoid lesions are inaccurately reported and undermanaged: a retrospective study of the management of gallbladder polypoid lesions detected at ultrasound in symptomatic patients during a 36-month period [J] . Abdullah A. A. N., Rangaraj A., Rashid M., Clinical Radiology: Journal of the Royal College of Radiologists . 2019,第6期

机译：胆囊息肉病变是不准确的报告和不受困扰的：在36个月期间，在症状患者中在超声中检测到胆囊息肉病变治疗的回顾性研究
4. Increasing the efficiency of the Lesion segmentation tools to detect brain lesions in stroke [C] . Mahsa Khorrampanah, Ali Amani, Maryam Yousefian, Iranian Conference on Electrical Engineering . 2020

机译：提高病变分割工具检测中风脑部病变的效率
5. Image noise and lesion detectability in x-ray computed tomography [D] . Wunderlich, Adam James 2009

机译：X射线计算机断层扫描中的图像噪声和病变可检测性
6. Prevalence of MRI-detected mediopatellar plica in subjects with knee pain and the association with MRI-detected patellofemoral cartilage damage and bone marrow lesions: data from the Joints On Glucosamine study [O] . Daichi Hayashi, Li Xu, Ali Guermazi, 2013

机译：膝关节疼痛受试者中MRI检测到的中pat肌ica行的发生率以及MRI检测到的tell股软骨损伤和骨髓病变的关联：关节氨基葡萄糖研究的数据
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）。

Detecting Lesions

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