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A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis.
Konz, Nicholas; Buda, Mateusz; Gu, Hanxue; Saha, Ashirbani; Yang, Jichen; Chledowski, Jakub; Park, Jungkyu; Witowski, Jan; Geras, Krzysztof J; Shoshan, Yoel; Gilboa-Solomon, Flora; Khapun, Daniel; Ratner, Vadim; Barkan, Ella; Ozery-Flato, Michal; Martí, Robert; Omigbodun, Akinyinka; Marasinou, Chrysostomos; Nakhaei, Noor; Hsu, William; Sahu, Pranjal; Hossain, Md Belayat; Lee, Juhun; Santos, Carlos; Przelaskowski, Artur; Kalpathy-Cramer, Jayashree; Bearce, Benjamin; Cha, Kenny; Farahani, Keyvan; Petrick, Nicholas; Hadjiiski, Lubomir; Drukker, Karen; Armato, Samuel G; Mazurowski, Maciej A.
Afiliación
  • Konz N; Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina.
  • Buda M; Department of Radiology, Duke University Medical Center, Durham, North Carolina.
  • Gu H; Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland.
  • Saha A; Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina.
  • Yang J; Department of Radiology, Duke University Medical Center, Durham, North Carolina.
  • Chledowski J; Department of Oncology, McMaster University, Hamilton, Ontario, Canada.
  • Witowski J; Jagiellonian University, Kraków, Poland.
  • Geras KJ; Department of Radiology, NYU Grossman School of Medicine, New York, New York.
  • Shoshan Y; Department of Radiology, NYU Grossman School of Medicine, New York, New York.
  • Gilboa-Solomon F; Department of Radiology, NYU Grossman School of Medicine, New York, New York.
  • Khapun D; Department of Radiology, NYU Grossman School of Medicine, New York, New York.
  • Ratner V; Medical Image Analytics, IBM Research, Haifa, Israel.
  • Barkan E; Medical Image Analytics, IBM Research, Haifa, Israel.
  • Ozery-Flato M; Medical Image Analytics, IBM Research, Haifa, Israel.
  • Martí R; Medical Image Analytics, IBM Research, Haifa, Israel.
  • Omigbodun A; Medical Image Analytics, IBM Research, Haifa, Israel.
  • Marasinou C; Medical Image Analytics, IBM Research, Haifa, Israel.
  • Nakhaei N; Institute of Computer Vision and Robotics, University of Girona, Girona, Spain.
  • Hsu W; Medical and Imaging Informatics Group, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles.
  • Sahu P; Medical and Imaging Informatics Group, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles.
  • Hossain MB; Medical and Imaging Informatics Group, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles.
  • Lee J; Medical and Imaging Informatics Group, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles.
  • Santos C; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles.
  • Przelaskowski A; Department of Bioengineering, University of California Los Angeles Samueli School of Engineering.
  • Kalpathy-Cramer J; Department of Computer Science, Stony Brook University, Stony Brook, New York.
  • Bearce B; Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Cha K; Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Farahani K; Department of Radiology, Duke University Medical Center, Durham, North Carolina.
  • Petrick N; Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland.
  • Hadjiiski L; Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown.
  • Drukker K; Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown.
  • Armato SG; US Food and Drug Administration, Silver Spring, Maryland.
  • Mazurowski MA; Center for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, Maryland.
JAMA Netw Open ; 6(2): e230524, 2023 02 01.
Article en En | MEDLINE | ID: mdl-36821110
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Inteligencia Artificial Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: JAMA Netw Open Año: 2023 Tipo del documento: Article
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Inteligencia Artificial Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: JAMA Netw Open Año: 2023 Tipo del documento: Article