Search Results - "Deep Learning"

Deep learning based clinico-radiological model for paediatric brain tumor detection and subtype prediction by Abhishek Mahajan, Mayur Burrewar, Ujjwal Agarwal, Bharadwaj Kss, Apparao Mlv, Amrita Guha, Arpita Sahu, Amit Choudhari, Vivek Pawar, Vivek Punia, Sridhar Epari, Ayushi Sahay, Tejpal Gupta, Girish Chinnaswamy, Prakash Shetty, Aliasgar Moiyadi

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De novo design of mIDH1 inhibitors by integrating deep learning and molecular modeling by Dingkang Sun, Lulu Xu, Mengfan Tong, Zhao Wei, Weitong Zhang, Jialong Liang, Xueying Liu, Yuwei Wang

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Chapter Deep Learning Training and Benchmarks for Earth Observation Images: Data Sets, Features, and Procedures by Schwarz, Gottfried

Subjects: “…Earth observation, synthetic aperture radar, multispectral, machine learning, deep learning…”
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DETEKSI POTENSI KECURANGAN UJIAN BERDASARKAN GERAKAN PESERTA DIDIK MENGGUNAKAN METODE DEEP LEARNING by Harahap, Harisul Haqqi

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Chapter Combined Deep Learning and Traditional NLP Approaches for Fire Burst Detection Based on Twitter Posts by Thanos, Konstantinos-George

Subjects: “…deep learning, NLP procedure, fire burst detection, twitter posts, valid posts…”
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Deep Learning-Based Model Significantly Improves Diagnostic Performance for Assessing Renal Histopathology in Lupus Glomerulonephritis by Luping Shen, Wenyi Sun, Qixiang Zhang, Mengru Wei, Huanke Xu, Xuan Luo, Guangji Wang, Fang Zhou

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Enhancing clinical utility: deep learning-based embryo scoring model for non-invasive aneuploidy prediction by Bing-Xin Ma, Guang-Nian Zhao, Zhi-Fei Yi, Yong-Le Yang, Lei Jin, Bo Huang

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De-Identification of Facial Features in Magnetic Resonance Images: Software Development Using Deep Learning Technology by Jeong, Yeon Uk, Yoo, Soyoung, Kim, Young-Hak, Shim, Woo Hyun

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Automatic Urticaria Activity Score: Deep Learning-Based Automatic Hive Counting for Urticaria Severity Assessment by Taig Mac Carthy, Ignacio Hernández Montilla, Andy Aguilar, Rubén García Castro, Ana María González Pérez, Alejandro Vilas Sueiro, Laura Vergara de la Campa, Fernando Alfageme, Alfonso Medela

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Deep learning for AI-based diagnosis of skin-related neglected tropical diseases: A pilot study. by Rie R Yotsu, Zhengming Ding, Jihun Hamm, Ronald E Blanton

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Selecting precise reference normal tissue samples for cancer research using a deep learning approach by William Z. D. Zeng, Benjamin S. Glicksberg, Yangyan Li, Bin Chen

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Association of collagen deep learning classifier with prognosis and chemotherapy benefits in stage II‐III colon cancer by Wei Jiang, Huaiming Wang, Weisheng Chen, Yandong Zhao, Botao Yan, Dexin Chen, Xiaoyu Dong, Jiaxin Cheng, Zexi Lin, Shuangmu Zhuo, Hui Wang, Jun Yan

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Deep learning-based prediction of mandibular growth trend in children with anterior crossbite using cephalometric radiographs by Jia-Nan Zhang, Hai-Ping Lu, Jia Hou, Qiong Wang, Feng-Yang Yu, Chong Zhong, Cheng-Yi Huang, Si Chen

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Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study by Hyun Woo Lee, Hyun Jun Yang, Hyungjin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon Ho Yoon, Soo-Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Lim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun-Hyeon Kim, Yeon Joo Jeong, Kwang Nam Jin, Jin Mo Goo

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Medical Staff and Resident Preferences for Using Deep Learning in Eye Disease Screening: Discrete Choice Experiment by Senlin Lin, Liping Li, Haidong Zou, Yi Xu, Lina Lu

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COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques by Zunera Jalil, Ahmed Abbasi, Abdul Rehman Javed, Muhammad Badruddin Khan, Mozaherul Hoque Abul Hasanat, Khalid Mahmood Malik, Abdul Khader Jilani Saudagar

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Detecting Pulp Stones with Automatic Deep Learning in Bitewing Radiographs: A Pilot Study of Artificial Intelligence by Ali Altındağ, Özer Çelik, İbrahim Şevki Bayrakdar, Sultan Uzun

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Deep Learning Accurately Quantifies Plasma Cell Percentages on CD138-Stained Bone Marrow Samples by Fred Fu, Angela Guenther, Ali Sakhdari, Trevor D. McKee, Daniel Xia

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Predictors of Deep Learning and Competence Development in Children Aged 5-7 Using Augmented Reality Technology by Monika Kelpsiene, Ona Monkeviciene

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Testing the generalizability and effectiveness of deep learning models among clinics: sperm detection as a pilot study by Jiaqi Wang, Yufei Jin, Aojun Jiang, Wenyuan Chen, Guanqiao Shan, Yifan Gu, Yue Ming, Jichang Li, Chunfeng Yue, Zongjie Huang, Clifford Librach, Ge Lin, Xibu Wang, Huan Zhao, Yu Sun, Zhuoran Zhang

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