본문 바로가기
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability. https://www.ncbi.nlm.nih.gov/pubmed/30069585 Skeletal Radiol. 2018 Aug 1. doi: 10.1007/s00256-018-3033-2. [Epub ahead of print]Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability.Tajmir SH1,2, Lee H3,4, Shailam R3,5, Gale HI6, Nguyen JC7, Westra SJ3,5, Lim R3,5, Yune S3,5, Gee MS3,5, Do S3,5.Author information1Department of Radiolog.. 더보기
Studying Down syndrome recognition probabilities in Thai children with de-identified computer-aided facial analysis. https://www.ncbi.nlm.nih.gov/pubmed/30070762 Am J Med Genet A. 2018 Aug 2. doi: 10.1002/ajmg.a.40483. [Epub ahead of print]Studying Down syndrome recognition probabilities in Thai children with de-identified computer-aided facial analysis.Vorravanpreecha N1, Lertboonnum T1, Rodjanadit R1, Sriplienchan P1, Rojnueangnit K2.Author information1Faculty of Medicine, Thammasat University, Pathumthani, .. 더보기
Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm. https://www.ncbi.nlm.nih.gov/pubmed/30056118 J Dent. 2018 Jul 26. pii: S0300-5712(18)30225-2. doi: 10.1016/j.jdent.2018.07.015. [Epub ahead of print]Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm.Lee JH1, Kim DH2, Jeong SN2, Choi SH3.Author information1Department of Periodontology, Daejeon Dental Hospital, Institute of Wonkwang Dental .. 더보기
Automation, machine learning, and artificial intelligence in echocardiography https://www.ncbi.nlm.nih.gov/pubmed/29974498 Echocardiography. 2018 Jul 5. doi: 10.1111/echo.14086. [Epub ahead of print]Automation, machine learning, and artificial intelligence in echocardiography: A brave new world.Gandhi S1,2, Mosleh W3, Shen J2, Chow CM2.Author information1Hamilton Health Sciences Centre, McMaster University, Hamilton, Ontario, Canada.2St. Michael's Hospital, University of .. 더보기
Visual Analytics for Explainable Deep Learning. https://www.ncbi.nlm.nih.gov/pubmed/29975192 IEEE Comput Graph Appl. 2018 Jul/Aug;38(4):84-92. doi: 10.1109/MCG.2018.042731661.Visual Analytics for Explainable Deep Learning.Choo J, Liu S.AbstractRecently, deep learning has been advancing the state of the art in artificial intelligence to a new level, and humans rely on artificial intelligence techniques more than ever. However, even with such u.. 더보기
An open-source tool for analysis and automatic identification of dendritic spines using machine learning. https://www.ncbi.nlm.nih.gov/pubmed/29975722 PLoS One. 2018 Jul 5;13(7):e0199589. doi: 10.1371/journal.pone.0199589. eCollection 2018.An open-source tool for analysis and automatic identification of dendritic spines using machine learning.Smirnov MS1, Garrett TR1,2, Yasuda R1.Author information1Neuronal Signal Transduction, Max Planck Florida Institute for Neuroscience, Jupiter, Florida, United .. 더보기
An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest. https://www.ncbi.nlm.nih.gov/pubmed/29945914 J Am Heart Assoc. 2018 Jun 26;7(13). pii: e008678. doi: 10.1161/JAHA.118.008678.An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest.Kwon JM1, Lee Y2, Lee Y2, Lee S2, Park J3.Author information1Department of Emergency Medicine, Mediplex Sejong Hospital, Incheon, Korea kwonjm@sejongh.co.kr.2VUNO, Seoul, Korea.3Department of Car.. 더보기
Laterality Classification of Fundus Images Using Interpretable Deep Neural Network. https://www.ncbi.nlm.nih.gov/pubmed/29948436 J Digit Imaging. 2018 Jun 12. doi: 10.1007/s10278-018-0099-2. [Epub ahead of print]Laterality Classification of Fundus Images Using Interpretable Deep Neural Network.Jang Y1, Son J2, Park KH3, Park SJ3, Jung KH4.Author information1Department of Statistics, University of Oxford, Oxford, UK.2VUNO Inc., 6F, 507, Gangnam-daero, Seocho-gu, Seoul, Republic .. 더보기
Classification of pressure ulcer tissues with 3D convolutional neural network. https://www.ncbi.nlm.nih.gov/pubmed/29949023 Med Biol Eng Comput. 2018 Jun 15. doi: 10.1007/s11517-018-1835-y. [Epub ahead of print]Classification of pressure ulcer tissues with 3D convolutional neural network.García-Zapirain B1, Elmogy M2,3, El-Baz A4, Elmaghraby AS5.Author information1Facultad Ingeniería, Universidad de Deusto, Avda/Universidades 24, 48007, Bilbao, Spain.2Information Technolog.. 더보기
Deep learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumor diagnosis. https://www.ncbi.nlm.nih.gov/pubmed/29953582 Br J Dermatol. 2018 Jun 28. doi: 10.1111/bjd.16924. [Epub ahead of print]Deep learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumor diagnosis.Fujisawa Y1, Otomo Y2, Ogata Y3, Nakamura Y1, Fujita R2, Ishitsuka Y1, Watanabe R1, Okiyama N1, Ohara K4, Fujimoto M1... 더보기

티스토리툴바