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APPLICATION OF DEEP LEARNING ALGORITHMS IN DETECTION OF MITOTIC EVENTS IN ORAL SQUAMOUS CELL CARCINOMA USING CELLPHONE IMAGES

机译：深层学习算法在口腔鳞状细胞癌中检测丝状细胞癌中的应用

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Dr. Amber Kiyani; Dr. Hassan Aqeel; Mr. Asjid Tanveer; Mr. Wajahat Nawaz; Dr. Syed Ali Khurram;
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1. Detection of molecular signatures of oral squamous cell carcinoma and normal epithelium - application of a novel methodology for unsupervised segmentation of imaging mass spectrometry data [J] . Widlak Piotr, Mrukwa Grzegorz, Kalinowska Magdalena, Proteomics . 2016,第11a12期

机译：口腔鳞状细胞癌和正常上皮细胞的分子特征检测-新型方法在质谱数据无监督分割中的应用
2. Oral lichen planus and other confounding factors in narrow band imaging (NBI) during routine inspection of oral cavity for early detection of oral squamous cell carcinoma: a retrospective pilot study [J] . Agostino Guida, Mariagrazia Maglione, Anna Crispo, BMC Oral Health . 2019,第1期

机译：口腔常规检查中窄带成像（NBI）中口腔扁平苔藓和其他混杂因素，以早期发现口腔鳞状细胞癌：一项回顾性先导研究
3. Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images [J] . Fujima Noriyuki, Andreu-Arasa V. Carlota, Meibom Sara K., BMC Cancer . 2021,第1期

机译：预处理FDG-PET图像深度学习分析对口咽鳞状细胞癌患者局部治疗结果的预测
4. In-vivo fluorescence detection and imaging of porphyrin-producing bacteria in the human skin and in the oral cavity for diagnosis of acne vulgaris caries and squamous cell carcinoma [C] . Karsten Koenig, Herbert Schneckenburger, Joerg Hemmer, Conference on the use of optical spectroscopy for disease diagnosis . 1994

机译：人体皮肤和口腔中卟啉产生细菌的体内荧光检测和成像，用于诊断痤疮祛痘龋齿和鳞状细胞癌
5. Chemoprevention of Oral Squamous Cell Carcinoma: Extending Therapeutic Parameters of Fenretinide. [D] . Han, Byungdo Brian. 2015

机译：口腔鳞状细胞癌的化学预防：扩大芬替尼的治疗参数。
6. A deep learning algorithm for detection of oral cavity squamous cell carcinoma from photographic images: A retrospective study [O] . Qiuyun Fu, Yehansen Chen, Zhihang Li, 2020

机译：一种深入学习算法用于检测摄影图像的口腔鳞状细胞癌：回顾性研究
7. A deep learning algorithm for detection of oral cavity squamous cell carcinoma from photographic images: A retrospective study [O] . Qiuyun Fu, Yehansen Chen, Zhihang Li, 2020

机译：一种深入学习算法，用于检测摄影图像的口腔鳞状细胞癌：回顾性研究

APPLICATION OF DEEP LEARNING ALGORITHMS IN DETECTION OF MITOTIC EVENTS IN ORAL SQUAMOUS CELL CARCINOMA USING CELLPHONE IMAGES

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