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Detection and classification the breast tumors using mask R-CNN on sonograms. Medicine (Baltimore). 2019 May;98(19):e15200. doi: 10.1097/MD.0000000000015200. Detection and classification the breast tumors using mask R-CNN on sonograms. Chiao JY1, Chen KY2, Liao KY3, Hsieh PH1, Zhang G4, Huang TC1,3,5. Author information Abstract Breast cancer is one of the most harmful diseases for women with the highest morbidity. An efficient way to decrease its mortality is to diagnose.. 더보기
How I learned to stop worrying and love machine learning. https://www.ncbi.nlm.nih.gov/pubmed/30446202 Clin Dermatol. 2018 Nov - Dec;36(6):777-778. doi: 10.1016/j.clindermatol.2018.06.003. Epub 2018 Jun 8.How I learned to stop worrying and love machine learning.Mattessich S1, Tassavor M2, Swetter SM3, Grant-Kels JM4.Author information1University of Connecticut School of Medicine, Farmington, Connecticut, USA.2Department of Dermatology, University of Co.. 더보기
DeepDrug3D: Classification of ligand-binding pockets in proteins with a convolutional neural network. https://www.ncbi.nlm.nih.gov/pubmed/30716081 PLoS Comput Biol. 2019 Feb 4;15(2):e1006718. doi: 10.1371/journal.pcbi.1006718. eCollection 2019 Feb.DeepDrug3D: Classification of ligand-binding pockets in proteins with a convolutional neural network.Pu L1, Govindaraj RG2, Lemoine JM2,3, Wu HC1, Brylinski M2,4.Author information1Division of Electrical & Computer Engineering, Louisiana State Universi.. 더보기
Network-guided prediction of aromatase inhibitor response in breast cancer. https://www.ncbi.nlm.nih.gov/pubmed/30742607 PLoS Comput Biol. 2019 Feb 11;15(2):e1006730. doi: 10.1371/journal.pcbi.1006730. eCollection 2019 Feb.Network-guided prediction of aromatase inhibitor response in breast cancer.Ruffalo M1, Thomas R2, Chen J2, Lee AV2, Oesterreich S2, Bar-Joseph Z1,3.Author information1Computational Biology Department, School of Computer Science, Carnegie Mellon Univer.. 더보기
★Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy. https://www.ncbi.nlm.nih.gov/pubmed/30858305 Gut. 2019 Mar 11. pii: gutjnl-2018-317366. doi: 10.1136/gutjnl-2018-317366. [Epub ahead of print]Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy.Wu L#1,2,3, Zhang J#1,2,3, Zhou W#1,2,3, An P1,2,3, Shen L1,2,3, Liu J1,3, Jiang X1,2,3, Huang X1,2,3, Mu G1,2,3, Wan .. 더보기
Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration. https://www.ncbi.nlm.nih.gov/pubmed/30629091 JAMA Ophthalmol. 2019 Jan 10. doi: 10.1001/jamaophthalmol.2018.6156. [Epub ahead of print]Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration.Burlina PM1,2,3, Joshi N1, Pacheco KD4, Liu TYA3, Bressler NM3,5.Author information1Johns Hopkins University Applied Physics Laboratory.. 더보기
Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy. https://www.ncbi.nlm.nih.gov/pubmed/30568383 World J Gastroenterol. 2018 Dec 7;24(45):5057-5062. doi: 10.3748/wjg.v24.i45.5057.Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy.de Lange T1, Halvorsen P2, Riegler M2.Author information1Department of Transplantation, Oslo University Hospital, Oslo 0424, Norway.2Center for Digital Engineering Sim.. 더보기
From Machine Learning to Artificial Intelligence Applications in Cardiac Care. https://www.ncbi.nlm.nih.gov/pubmed/30571349 Circulation. 2018 Nov 27;138(22):2569-2575. doi: 10.1161/CIRCULATIONAHA.118.031734.From Machine Learning to Artificial Intelligence Applications in Cardiac Care.Tsay D1, Patterson C2.Author information1NewYork-Presbyterian, Columbia University Irving Medical Center (D.T.).2University of Arkansas for Medical Sciences, Little Rock (C.P.).AbstractArtific.. 더보기
Machine Learning Outperforms ACC / AHA CVD Risk Calculator in MESA. https://www.ncbi.nlm.nih.gov/pubmed/30571498 https://www.ahajournals.org/doi/full/10.1161/JAHA.118.009476?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%3dpubmed J Am Heart Assoc. 2018 Nov 20;7(22):e009476. doi: 10.1161/JAHA.118.009476.Machine Learning Outperforms ACC / AHA CVD Risk Calculator in MESA.Kakadiaris IA1, Vrigkas M1, Yen AA2, Kuznetsova T3, Budoff M4, Naghavi M2.Autho.. 더보기
Open source software in quantum computing. https://www.ncbi.nlm.nih.gov/pubmed/30571700 PLoS One. 2018 Dec 20;13(12):e0208561. doi: 10.1371/journal.pone.0208561. eCollection 2018.Open source software in quantum computing.Fingerhuth M1,2, Babej T1, Wittek P3,4,5,6.Author information1ProteinQure Inc., Toronto, Canada.2University of KwaZulu-Natal, Durban, South Africa.3Rotman School of Management, University of Toronto, Toronto, Canada.4Cre.. 더보기

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