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High-frequency ultrasound in the diagnosis of selected non-melanoma skin nodular lesions

机译：高频超声诊断所选非黑色素瘤皮肤结节病变

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Paweł Piłat; Adam Borzęcki; Mieczysław Jazienicki; Agnieszka Gerkowicz; Dorota Krasowska;
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1. The significance of venous dominance in color Doppler ultrasound for the diagnosis of primary nodular skin lesions: a new perspective in classification. [J] . Ozkol M, Yoleri L, Demir MA, Clinical imaging . 2006,第1期

机译：彩色多普勒超声中静脉优势对原发性结节性皮肤病变的诊断意义：分类的新观点。
2. Ex vivo high-frequency ultrasound: A novel proposal for management of surgical margins in patients with non-melanoma skin cancer [J] . Pasquali Paola, Freites-Martinez Azael, Fortuno-Mar Angeles Journal of the American Academy of Dermatology . 2016,第6期

机译：离体高频超声：非黑色素瘤皮肤癌患者手术切缘管理的新方案
3. Reflectance Confocal Microscopy in the Diagnosis of Non-Melanoma Skin Cancer and Benign Lesions Versus Normal Skin: A Blinded Prospective Trial [J] . Mahyar Amjadi, Brendon J Coventry, John E Greenwood AM The Internet Journal of Plastic Surgery . 2010,第2期

机译：反射共聚焦显微镜在非黑色素瘤皮肤癌和良性病变对正常皮肤的诊断中：一项盲前瞻性试验
4. A NOVEL NONPARAMETRIC TECHNIQUE FOR SEGMENTING MULTIMODE HYPERSPECTRAL IMAGES OBTAINED FROM NON-MELANOMA SKIN CANCER LESIONS [C] . Gamal G. N. Geweid, Fartash Vasefi, Kouhyar Tavakolian Design of Medical Devices Conference . 2020

机译：一种新的非参数化技术，用于分离从非黑素瘤皮肤癌病变中获得的多模高光谱图像
5. Cloud-Based Skin Lesion Diagnosis System Using Convolutional Neural Networks [D] . Akar, Esad. 2018

机译：卷积神经网络基于云的皮肤病变诊断系统
6. High-frequency ultrasound in the diagnosis of selected non-melanoma skin nodular lesions [O] . Paweł Piłat, Adam Borzęcki, Mieczysław Jazienicki, 2019

机译：高频超声诊断非黑色素瘤皮肤结节性病变
7. Assessment of Optical Coherence Tomography Imaging in the Diagnosis of Non-Melanoma Skin Cancer and Benign Lesions Versus Normal Skin::Observer-Blinded Evaluation by Dermatologists and Pathologists [O] . Mogensen Mette, Jørgensen Thomas Martini, Nürnberg Birgit Meincke, 2009

机译：评估光学相干断层扫描成像诊断非黑色素瘤皮肤癌和良性病变与正常皮肤::皮肤科医生和病理学家的观察者盲法评估

High-frequency ultrasound in the diagnosis of selected non-melanoma skin nodular lesions

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