Large scale deep learning for computer aided detection of mammographic lesions

Medical Image Analysis
Thijs KooiNico Karssemeijer


Recent advances in machine learning yielded new techniques to train deep neural networks, which resulted in highly successful applications in many pattern recognition tasks such as object detection and speech recognition. In this paper we provide a head-to-head comparison between a state-of-the art in mammography CAD system, relying on a manually designed feature set and a Convolutional Neural Network (CNN), aiming for a system that can ultimately read mammograms independently. Both systems are trained on a large data set of around 45,000 images and results show the CNN outperforms the traditional CAD system at low sensitivity and performs comparable at high sensitivity. We subsequently investigate to what extent features such as location and patient information and commonly used manual features can still complement the network and see improvements at high specificity over the CNN especially with location and context features, which contain information not available to the CNN. Additionally, a reader study was performed, where the network was compared to certified screening radiologists on a patch level and we found no significant difference between the network and the readers.

Associated Proceedings Papers

Jun 12, 2019·M. Samir Abou El Seoud, Essam Rashed


Sep 30, 2017·IEEE Transactions on Medical Imaging·Ozan OktayDaniel Rueckert
Oct 23, 2017·Biomedizinische Technik. Biomedical Engineering·Ehsan Kozegar, Mohsen Soryani
Nov 14, 2017·Radiographics : a Review Publication of the Radiological Society of North America, Inc·Gabriel ChartrandAn Tang
May 18, 2018·IEEE Transactions on Neural Networks and Learning Systems·Mufti MahmudStefano Vassanelli
Apr 27, 2018·Physics in Medicine and Biology·Yu ZhaoLixu Gu
Feb 22, 2018·Computational and Mathematical Methods in Medicine·Abdullah-Al Nahid, Yinan Kong
May 15, 2018·Radiographics : a Review Publication of the Radiological Society of North America, Inc·Reni Simov Butler
May 20, 2018·Nature Reviews. Cancer·Ahmed HosnyHugo Aerts
Jul 12, 2018·IEEE Transactions on Medical Imaging·Eli GibsonDean C Barratt
Sep 19, 2017·IEEE Transactions on Medical Imaging·Gustavo CarneiroAndrew P Bradley
Jul 15, 2017·IEEE Transactions on Medical Imaging·Ilkay OksuzSotirios A Tsaftaris
Feb 7, 2018·Journal of Digital Imaging·Simukayi MutasaRama Ayyala
Dec 5, 2018·Physics in Medicine and Biology·Seong Tae KimYong Man Ro
Dec 6, 2018·The Journal of Bone and Joint Surgery. American Volume·Matthew J Allen
Oct 28, 2018·Medical Physics·Berkman SahinerMaryellen L Giger
Jan 23, 2019·AJR. American Journal of Roentgenology·Yiming GaoLinda Moy
Feb 6, 2019·CA: a Cancer Journal for Clinicians·Wenya Linda BiHugo Aerts
Feb 20, 2019·AJR. American Journal of Roentgenology·Chen CuiAnthony E Samir
Feb 26, 2019·Journal of Thoracic Imaging·Min Jae ChaKyung Soo Lee
Mar 6, 2019·Journal of the National Cancer Institute·Alejandro Rodriguez-RuizIoannis Sechopoulos
Mar 17, 2018·Scientific Reports·Dezső RibliIstván Csabai
Jun 6, 2019·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Fang LiuLi Feng
Jul 26, 2019·Journal of Magnetic Resonance Imaging : JMRI·Deepa Sheth, Maryellen L Giger
Jun 13, 2019·International Journal of Computer Assisted Radiology and Surgery·Mathias UnberathNassir Navab
Apr 16, 2018·Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes·An TangCanadian Association of Radiologists (CAR) Artificial Intelligence Working Group
Dec 21, 2019·Physics in Medicine and Biology·Maryam GolshanIngrid Spadinger
Feb 29, 2020·Acta Radiologica·Gustav AlvfeldtNina Sellberg
Nov 14, 2019·Physics in Medicine and Biology·Hui SunShanshan Wang
Dec 5, 2019·Medical Physics·Rongbo ShenJun Zhang
Mar 6, 2020·Journal of Medical Radiation Sciences·Dennis Jay WongWarren Reed


Apr 9, 1998·IEEE Transactions on Medical Imaging·R M RangayyanO A Alim
Dec 9, 1998·IEEE Transactions on Medical Imaging·M A Kupinski, Maryellen L Giger
Oct 26, 2000·Physics in Medicine and Biology·G M Te BrakeJ H Hendriks
Dec 29, 2000·IEEE Transactions on Medical Imaging·N R MudigondaJ E Desautels
Mar 13, 2001·Medical Physics·G M Te Brake, Nico Karssemeijer
Jan 29, 2002·IEEE Transactions on Medical Imaging·Maryellen L GigerS G Armato
Oct 2, 2003·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Shu-Chen Cheng, Yueh-Min Huang
Apr 15, 2004·Clinical Radiology·S M Astley, F J Gilbert
Mar 26, 2005·Medical Physics·Hans Bornefalk, Anna Bornefalk Hermansson
Jan 18, 2006·European Radiology·Ansgar MalichJoachim Böttcher
Jun 13, 2006·Neural Computation·Geoffrey HintonYee-Whye Teh
Mar 14, 2007·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Kunio Doi
Mar 28, 2007·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Robert M Nishikawa
Jan 1, 1996·IEEE Transactions on Medical Imaging·Nico Karssemeijer, G M Te Brake
Jul 21, 2009·Medical Physics·Matthias Elter, Alexander Horsch
Aug 12, 2009·IEEE Transactions on Medical Imaging·Rianne Hupse, Nico Karssemeijer
Oct 5, 2010·Journal of the American College of Radiology : JACR·Vijay M RaoJonathan H Sunshine
Jul 29, 2011·Journal of the National Cancer Institute·Joshua J FentonBreast Cancer Surveillance Consortium
Nov 19, 2011·Radiology·Bram van GinnekenMathias Prokop
Mar 6, 2012·Neural Networks : the Official Journal of the International Neural Network Society·Dan CireşanJürgen Schmidhuber
Nov 8, 2012·Journal of Medical Screening·Mireille BroedersEUROSCREEN Working Group
Jun 22, 2013·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yoshua BengioPascal Vincent
Dec 3, 2014·Neural Networks : the Official Journal of the International Neural Network Society·Jürgen Schmidhuber
Feb 27, 2015·Nature·Volodymyr MnihDemis Hassabis
May 29, 2015·Nature·Yann LeCunGeoffrey Hinton
Sep 29, 2015·JAMA Internal Medicine·Constance D LehmanBreast Cancer Surveillance Consortium
Mar 10, 2016·IEEE Transactions on Pattern Analysis and Machine Intelligence·Jan HosangBernt Schiele

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