Bilaketaren emaitzak - "Deep Learning"

Deep learning based clinico-radiological model for paediatric brain tumor detection and subtype prediction nork 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 nork 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 nork Schwarz, Gottfried

Gaiak: “...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 nork Harahap, Harisul Haqqi

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

Gaiak: “...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 nork 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 nork 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 nork 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 nork 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. nork 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 nork 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 nork 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 nork 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 nork 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 nork 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 nork 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 nork 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 nork 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 nork 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 nork 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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