论文信息 - OPTIMAM Mammography Image Database: a large scale resource of mammography images and clinical data - 字舞流文

OPTIMAM Mammography Image Database: a large scale resource of mammography images and clinical data

Supplemental material is available for this article.

Emma Lewis | Alistair Mackenzie | Lucy M Warren | Rosalind M Given-Wilson | Mark D Halling-Brown | Dominic Ward | Rita McAvinchey | Matthew G Wallis | Louise Wilkinson | Kenneth C Young | R. Given-Wilson | M. Wallis | M. Halling-Brown | K. Young | E. Lewis | L. Warren | Alistair Mackenzie | L. Wilkinson | D. Ward | R. McAvinchey

[1] M. D. Halling-Brown,et al. Automated collection of medical images for research from heterogeneous systems: trials and tribulations , 2014, Medical Imaging.

[2] P. T. Looney,et al. The oncology medical image database (OMI-DB) , 2014, Medical Imaging.

[3] Julie Cooke,et al. Breast cancer detection rates using four different types of mammography detectors , 2016, European Radiology.

[4] M. D. Halling-Brown,et al. Quantitative imaging features: extension of the oncology medical image database , 2015, Medical Imaging.

[5] K C Young,et al. MEDXVIEWER: PROVIDING A WEB-ENABLED WORKSTATION ENVIRONMENT FOR COLLABORATIVE AND REMOTE MEDICAL IMAGING VIEWING, PERCEPTION STUDIES AND READER TRAINING. , 2016, Radiation protection dosimetry.

[6] D R Dance,et al. Image processing can cause some malignant soft-tissue lesions to be missed in digital mammography images. , 2017, Clinical radiology.

[7] David R. Dance,et al. Changes in breast density , 2019, Medical Imaging.

[8] Hyo-Eun Kim,et al. Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study. , 2020, The Lancet. Digital health.

[9] David S. Melnick,et al. International evaluation of an AI system for breast cancer screening , 2020, Nature.

[10] Friedhelm Schwenker,et al. Survey of deep learning in breast cancer image analysis , 2019, Evolving Systems.