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Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.
Ehteshami Bejnordi, Babak; Veta, Mitko; Johannes van Diest, Paul; van Ginneken, Bram; Karssemeijer, Nico; Litjens, Geert; van der Laak, Jeroen A W M; Hermsen, Meyke; Manson, Quirine F; Balkenhol, Maschenka; Geessink, Oscar; Stathonikos, Nikolaos; van Dijk, Marcory Crf; Bult, Peter; Beca, Francisco; Beck, Andrew H; Wang, Dayong; Khosla, Aditya; Gargeya, Rishab; Irshad, Humayun; Zhong, Aoxiao; Dou, Qi; Li, Quanzheng; Chen, Hao; Lin, Huang-Jing; Heng, Pheng-Ann; Haß, Christian; Bruni, Elia; Wong, Quincy; Halici, Ugur; Öner, Mustafa Ümit; Cetin-Atalay, Rengul; Berseth, Matt; Khvatkov, Vitali; Vylegzhanin, Alexei; Kraus, Oren; Shaban, Muhammad; Rajpoot, Nasir; Awan, Ruqayya; Sirinukunwattana, Korsuk; Qaiser, Talha; Tsang, Yee-Wah; Tellez, David; Annuscheit, Jonas; Hufnagl, Peter; Valkonen, Mira; Kartasalo, Kimmo; Latonen, Leena; Ruusuvuori, Pekka; Liimatainen, Kaisa.
Affiliation
  • Ehteshami Bejnordi B; Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Veta M; Medical Image Analysis Group, Eindhoven University of Technology, Eindhoven, the Netherlands.
  • Johannes van Diest P; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • van Ginneken B; Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Karssemeijer N; Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Litjens G; Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands.
  • van der Laak JAWM; Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Hermsen M; Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Manson QF; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Balkenhol M; Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Geessink O; Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Stathonikos N; Laboratorium Pathologie Oost Nederland, Hengelo, the Netherlands.
  • van Dijk MC; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Bult P; Rijnstate Hospital, Arnhem, the Netherlands.
  • Beca F; Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Beck AH; BeckLab, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
  • Wang D; BeckLab, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
  • Khosla A; PathAI, Cambridge, Massachusetts.
  • Gargeya R; BeckLab, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
  • Irshad H; PathAI, Cambridge, Massachusetts.
  • Zhong A; PathAI, Cambridge, Massachusetts.
  • Dou Q; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Li Q; Harker School, San Jose, California.
  • Chen H; BeckLab, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
  • Lin HJ; Center for Clinical Data Science, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Heng PA; Center for Clinical Data Science, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Haß C; Chinese University of Hong Kong, Hong Kong, China.
  • Bruni E; Center for Clinical Data Science, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Wong Q; Chinese University of Hong Kong, Hong Kong, China.
  • Halici U; Chinese University of Hong Kong, Hong Kong, China.
  • Öner MÜ; Chinese University of Hong Kong, Hong Kong, China.
  • Cetin-Atalay R; ExB Research and Development GmbH, Munich, Germany.
  • Berseth M; ExB Research and Development GmbH, Munich, Germany.
  • Khvatkov V; Munich Business School, Munich, Germany.
  • Vylegzhanin A; Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey.
  • Kraus O; Neuroscience and Neurotechnology, Graduate School of Natural and Applied Sciences, Middle East Technical University, Ankara, Turkey.
  • Shaban M; Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey.
  • Rajpoot N; Cancer System Biology Laboratory, Graduate School of Informatics, Middle East Technical University, Ankara, Turkey.
  • Awan R; NLP LOGIX, Jacksonville, Florida.
  • Sirinukunwattana K; Smart Imaging Technologies, Houston, Texas.
  • Qaiser T; Smart Imaging Technologies, Houston, Texas.
  • Tsang YW; Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada.
  • Tellez D; Tissue Image Analytics Lab, Department of Computer Science, University of Warwick, Coventry, United Kingdom.
  • Annuscheit J; Tissue Image Analytics Lab, Department of Computer Science, University of Warwick, Coventry, United Kingdom.
  • Hufnagl P; Department of Pathology, University Hospitals Coventry and Warwickshire National Health Service Foundation Trust, Coventry, United Kingdom.
  • Valkonen M; Department of Computer Science and Engineering, Qatar University, Doha, Qatar.
  • Kartasalo K; Tissue Image Analytics Lab, Department of Computer Science, University of Warwick, Coventry, United Kingdom.
  • Latonen L; Tissue Image Analytics Lab, Department of Computer Science, University of Warwick, Coventry, United Kingdom.
  • Ruusuvuori P; Department of Pathology, University Hospitals Coventry and Warwickshire National Health Service Foundation Trust, Coventry, United Kingdom.
  • Liimatainen K; Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands.
JAMA ; 318(22): 2199-2210, 2017 12 12.
Article in En | MEDLINE | ID: mdl-29234806
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Machine Learning / Pathologists / Lymphatic Metastasis Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans Language: En Journal: JAMA Year: 2017 Document type: Article Affiliation country:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Machine Learning / Pathologists / Lymphatic Metastasis Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans Language: En Journal: JAMA Year: 2017 Document type: Article Affiliation country: