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Deep Learning

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
Acral melanoma detection using a convolutional neural network for dermoscopy images. https://www.ncbi.nlm.nih.gov/pubmed/29513718 PLoS One. 2018 Mar 7;13(3):e0193321. doi: 10.1371/journal.pone.0193321. eCollection 2018.Acral melanoma detection using a convolutional neural network for dermoscopy images.Yu C1, Yang S2,3, Kim W4, Jung J4, Chung KY5, Lee SW3, Oh B4.Author information1Department of Media Technology, Graduate School of Media, Sogang University, Seoul, Republic of Kore.. 더보기
Artifact Removal using Improved GoogLeNet for Sparse-view CT Reconstruction. https://www.ncbi.nlm.nih.gov/pubmed/29712978 Sci Rep. 2018 Apr 30;8(1):6700. doi: 10.1038/s41598-018-25153-w.Artifact Removal using Improved GoogLeNet for Sparse-view CT Reconstruction.Xie S1, Zheng X2, Chen Y3,4, Xie L5, Liu J3,4, Zhang Y6, Yan J2, Zhu H2, Hu Y3,4.Author information1Nanjing University of Posts and Telecommunications, College of Telecommunications & Information Engineering, Nanj.. 더보기
Human red blood cell recognition enhancement with three-dimensional morphological features obtained by digital holographic imaging https://www.ncbi.nlm.nih.gov/pubmed/28006044 J Biomed Opt. 2016 Dec 1;21(12):126015. doi: 10.1117/1.JBO.21.12.126015. Human red blood cell recognition enhancement with three-dimensional morphological features obtained by digital holographic imaging. Jaferzadeh K1, Moon I1. Author information 1 Chosun University, Department of Computer Engineering, 309 Pilmun-daero, Dong-gu, Gwangju 501-759, Repu.. 더보기
Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification. https://www.ncbi.nlm.nih.gov/pubmed/27847543 Comput Math Methods Med. 2016;2016:6584725. Epub 2016 Oct 26.Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification.Ribeiro E1, Uhl A2, Wimmer G2, Häfner M3.Author information1Department of Computer Sciences, University of Salzburg, Salzburg, Austria; Department of Computer Sciences, Federal University of Tocantins, Palmas, TO,.. 더보기
Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography. https://www.ncbi.nlm.nih.gov/pubmed/27908154 Med Phys. 2016 Dec;43(12):6654.Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.Samala RK1, Chan HP1, Hadjiiski L1, Helvie MA1, Wei J1, Cha K1.Author information1Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109.AbstractPURPOSE:Develop a computer-aided de.. 더보기
Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images. https://www.ncbi.nlm.nih.gov/pubmed/28070212 Comput Math Methods Med. 2016;2016:6215085. doi: 10.1155/2016/6215085. Epub 2016 Dec 14.Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images.Li W1, Cao P1, Zhao D1, Wang J2.Author information1Medical Image Computing Laboratory of Ministry of Education, Northeastern University, Shenyang 110819, China; Co.. 더보기
Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier. https://www.ncbi.nlm.nih.gov/pubmed/28050198 Comput Math Methods Med. 2016;2016:7493535. doi: 10.1155/2016/7493535. Epub 2016 Nov 30.Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier.Selvakumari Jeya IJ1, Deepa SN2.Author information1Department of Computer Science and Engineering, Hindusthan College of Engineering and.. 더보기

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