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Literature DB >> 33937853

OPTIMAM Mammography Image Database: A Large-Scale Resource of Mammography Images and Clinical Data.

Mark D Halling-Brown¹, Lucy M Warren¹, Dominic Ward¹, Emma Lewis¹, Alistair Mackenzie¹, Matthew G Wallis¹, Louise S Wilkinson¹, Rosalind M Given-Wilson¹, Rita McAvinchey¹, Kenneth C Young¹.

Abstract

Supplemental material is available for this article. 2021 by the Radiological Society of North America, Inc.

Year: 2020 PMID： 33937853 PMCID： PMC8082293 DOI： 10.1148/ryai.2020200103

Source DB: PubMed Journal: Radiol Artif Intell ISSN： 2638-6100

7 in total

1. MEDXVIEWER: PROVIDING A WEB-ENABLED WORKSTATION ENVIRONMENT FOR COLLABORATIVE AND REMOTE MEDICAL IMAGING VIEWING, PERCEPTION STUDIES AND READER TRAINING.

Authors: P T Looney; K C Young; M D Halling-Brown
Journal: Radiat Prot Dosimetry Date: 2015-11-30 Impact factor: 0.972

2. Cost of extending the NHS breast screening age range in England.

Authors: Susan Bewley; Mitzi Blennerhassett; Mandy Payne
Journal: BMJ Date: 2019-04-10

3. Deep learning for mass detection in Full Field Digital Mammograms.

Authors: Richa Agarwal; Oliver Díaz; Moi Hoon Yap; Xavier Lladó; Robert Martí
Journal: Comput Biol Med Date: 2020-04-22 Impact factor: 4.589

4. Breast cancer detection rates using four different types of mammography detectors.

Authors: Alistair Mackenzie; Lucy M Warren; Matthew G Wallis; Julie Cooke; Rosalind M Given-Wilson; David R Dance; Dev P Chakraborty; Mark D Halling-Brown; Padraig T Looney; Kenneth C Young
Journal: Eur Radiol Date: 2015-06-25 Impact factor: 5.315

5. Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study.

Authors: Hyo-Eun Kim; Hak Hee Kim; Boo-Kyung Han; Ki Hwan Kim; Kyunghwa Han; Hyeonseob Nam; Eun Hye Lee; Eun-Kyung Kim
Journal: Lancet Digit Health Date: 2020-02-06

6. Image processing can cause some malignant soft-tissue lesions to be missed in digital mammography images.

Authors: L M Warren; M D Halling-Brown; P T Looney; D R Dance; M G Wallis; R M Given-Wilson; L Wilkinson; R McAvinchey; K C Young
Journal: Clin Radiol Date: 2017-04-27 Impact factor: 2.350

7. International evaluation of an AI system for breast cancer screening.

Authors: Scott Mayer McKinney; Marcin Sieniek; Varun Godbole; Jonathan Godwin; Natasha Antropova; Hutan Ashrafian; Trevor Back; Mary Chesus; Greg S Corrado; Ara Darzi; Mozziyar Etemadi; Florencia Garcia-Vicente; Fiona J Gilbert; Mark Halling-Brown; Demis Hassabis; Sunny Jansen; Alan Karthikesalingam; Christopher J Kelly; Dominic King; Joseph R Ledsam; David Melnick; Hormuz Mostofi; Lily Peng; Joshua Jay Reicher; Bernardino Romera-Paredes; Richard Sidebottom; Mustafa Suleyman; Daniel Tse; Kenneth C Young; Jeffrey De Fauw; Shravya Shetty
Journal: Nature Date: 2020-01-01 Impact factor: 49.962

7 in total

9 in total

Review 1. Image Augmentation Techniques for Mammogram Analysis.

Authors: Parita Oza; Paawan Sharma; Samir Patel; Festus Adedoyin; Alessandro Bruno
Journal: J Imaging Date: 2022-05-20

Review 2. Public governance of medical artificial intelligence research in the UK: an integrated multi-scale model.

Authors: Francis McKay; Bethany J Williams; Graham Prestwich; Darren Treanor; Nina Hallowell
Journal: Res Involv Engagem Date: 2022-05-21

3. How does image quality affect radiologists' perceived ability for image interpretation and lesion detection in digital mammography?

Authors: Joana Boita; Ruben E van Engen; Alistair Mackenzie; Anders Tingberg; Hilde Bosmans; Anetta Bolejko; Sophia Zackrisson; Matthew G Wallis; Debra M Ikeda; Chantal Van Ongeval; Ruud Pijnappel; Mireille Broeders; Ioannis Sechopoulos
Journal: Eur Radiol Date: 2021-01-21 Impact factor: 5.315

4. Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach.

Authors: Abdul Rahman Diab; Bryan Haslam; Jiye G Kim; William Lotter; Giorgia Grisot; Eric Wu; Kevin Wu; Jorge Onieva Onieva; Yun Boyer; Jerrold L Boxerman; Meiyun Wang; Mack Bandler; Gopal R Vijayaraghavan; A Gregory Sorensen
Journal: Nat Med Date: 2021-01-11 Impact factor: 87.241

Review 5. On the Role of Artificial Intelligence in Medical Imaging of COVID-19.

Authors: Jannis Born; David Beymer; Deepta Rajan; Adam Coy; Vandana V Mukherjee; Matteo Manica; Prasanth Prasanna; Deddeh Ballah; Michal Guindy; Dorith Shaham; Pallav L Shah; Emmanouil Karteris; Jan L Robertus; Maria Gabrani; Michal Rosen-Zvi
Journal: Patterns (N Y) Date: 2021-04-30

6. Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic.

Authors: Dominic Cushnan; Rosalind Berka; Ottavia Bertolli; Peter Williams; Daniel Schofield; Indra Joshi; Alberto Favaro; Mark Halling-Brown; Gergely Imreh; Emily Jefferson; Neil J Sebire; Gerry Reilly; Jonathan C L Rodrigues; Graham Robinson; Susan Copley; Rizwan Malik; Claire Bloomfield; Fergus Gleeson; Moira Crotty; Erika Denton; Jeanette Dickson; Gary Leeming; Hayley E Hardwick; Kenneth Baillie; Peter Jm Openshaw; Malcolm G Semple; Caroline Rubin; Andy Howlett; Andrea G Rockall; Ayub Bhayat; Daniel Fascia; Cathie Sudlow; Joseph Jacob
Journal: Digit Health Date: 2021-11-23