Why CAD Failed in Mammography

Mastering the game of Go with deep neural networks and tree search

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Cramming More Components Onto Integrated Circuits

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Mammographic Density and the Risk and Detection of Breast Cancer

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Comparison of Digital Mammography Alone and Digital Mammography Plus Tomosynthesis in a Population-based Screening Program

Skaane, P., Bandos, A. I., Gullien, R., Eben, E. B., Ekseth, U., Haakenaasen, U., Izadi, M., Jebsen, I. N., Jahr, G., Krager, M., et al. (2013) · Radiology · doi:10.1148/radiol.12121373 · Cited by 1,015 · see citing works

Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection

Lehman, C. D., Wellman, R. D., Buist, D. S. M., Kerlikowske, K., Tosteson, A. N. A., & Miglioretti, D. L. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2015.5231 · Cited by 678 · see citing works

Anniversary Paper: History and status of CAD and quantitative image analysis: The role of <i>Medical Physics</i> and AAPM

Giger, M. L., Chan, H., & Boone, J. (2008) · Medical Physics · doi:10.1118/1.3013555 · Cited by 311 · see citing works

Changes in Breast Cancer Detection and Mammography Recall Rates After the Introduction of a Computer-Aided Detection System

Gur, D., Sumkin, J. H., Rockette, H. E., Ganott, M. A., Hakim, C. M., Hardesty, L. A., Poller, W. R., Shah, R., & Wallace, L. P. (2004) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djh067 · Cited by 306 · see citing works

Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

Samala, R. K., Chan, H., Hadjiiski, L. M., Helvie, M. A., Wei, J., & Kenny, H. (2016) · Medical Physics · doi:10.1118/1.4967345 · Cited by 287 · see citing works

Malignant and benign clustered microcalcifications: automated feature analysis and classification.

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Effectiveness of Computer-Aided Detection in Community Mammography Practice

Fenton, J. J., Abraham, L., Taplin, S. H., Geller, B. M., Carney, P. A., D’Orsi, C. J., Elmore, J. G., & Barlow, W. E. (2011) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djr206 · Cited by 168 · see citing works

Computer aids and human second reading as interventions in screening mammography: Two systematic reviews to compare effects on cancer detection and recall rate

Taylor, P., & POTTS, H. W. W. (2008) · European Journal of Cancer · doi:10.1016/j.ejca.2008.02.016 · Cited by 160 · see citing works

Prospective Assessment of Computer-Aided Detection in Interpretation of Screening Mammography

Ko, J., Nicholas, M. J., Mendel, J. B., & Slanetz, P. J. (2006) · American Journal of Roentgenology · doi:10.2214/ajr.05.1582 · Cited by 121 · see citing works

How Widely Is Computer-Aided Detection Used in Screening and Diagnostic Mammography?

Rao, V. M., Levin, D. C., Parker, L., Cavanaugh, B. C., Frangos, A. J., & Sunshine, J. H. (2010) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2010.05.019 · Cited by 103 · see citing works

Breast Cancer Surveillance Consortium

National Cancer Institute (2020) · Definitions · doi:10.32388/7oifu8 · Cited by 100 · see citing works

Will Machine Learning Tip the Balance in Breast Cancer Screening?

Trister, A. D., Buist, D. S. M., & Lee, C. I. (2017) · JAMA Oncology · doi:10.1001/jamaoncol.2017.0473 · Cited by 92 · see citing works

Impact of Computer-Aided Detection Systems on Radiologist Accuracy With Digital Mammography

Cole, E. B., Zhang, Z., Marques, H. S., Hendrick, R. E., Yaffe, M. J., & Pisano, E. D. (2014) · American Journal of Roentgenology · doi:10.2214/ajr.12.10187 · Cited by 69 · see citing works

Is single reading with computer-aided detection (CAD) as good as double reading in mammography screening? A systematic review

Azavedo, E., Zackrisson, S., Mejàre, I. A., & Arnlind, M. H. (2012) · BMC Medical Imaging · doi:10.1186/1471-2342-12-22 · Cited by 68 · see citing works

The Cost of Breast Cancer Screening in the Medicare Population

Gross, C. P., Long, J. B., Ross, J. S., Abu-Khalaf, M. M., Wang, R., Killelea, B. K., Gold, H. T., Chagpar, A. B., & Ma, X. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1397 · Cited by 68 · see citing works

Testing the Effect of Computer-Assisted Detection on Interpretive Performance in Screening Mammography

Taplin, S. H., Rutter, C. M., & Lehman, C. D. (2006) · American Journal of Roentgenology · doi:10.2214/ajr.05.0940 · Cited by 53 · see citing works

Clinically Missed Cancer: How Effectively Can Radiologists Use Computer-Aided Detection?

Nishikawa, R. M., Schmidt, R. A., Linver, M. N., Edwards, A. V., Papaioannou, J., & Stull, M. A. (2012) · American Journal of Roentgenology · doi:10.2214/ajr.11.6423 · Cited by 47 · see citing works

Cost-effectiveness analysis for breast cancer screening: double reading versus single + CAD reading

Sato, M., Kawai, M., Nishino, Y., et al. (2012) · Breast Cancer · doi:10.1007/s12282-012-0423-5 · Cited by 31 · see citing works

Learning of Perceptual Similarity From Expert Readers for Mammogram Retrieval

Wei, L., Yang, Y., Wernick, M. N., et al. (2009) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2008.2011159 · Cited by 25 · see citing works

Computer-Aided Detection of Breast Cancer: Has Promise Outstripped Performance?

Elmore, J. G., & Carney, P. A. (2004) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djh049 · Cited by 22 · see citing works

CAD in Screening Mammography

Gur, D., & Sumkin, J. H. (2006) · American Journal of Roentgenology · doi:10.2214/ajr.06.1384 · Cited by 17 · see citing works

Variability in mammogram interpretation.

Beam, C. A., & Sullivan, D. C. (1996) · PubMed · Cited by 6 · see citing works

Computerized Mass Detection for Digital Breast Tomosynthesis

Reiser, I., & Nishikawa, R. M. (2010) · SPIE eBooks · doi:10.1117/3.651880.ch12 · Cited by 1 · see citing works

International evaluation of an AI system for breast cancer screening

McKinney, S. M., Sieniek, M., Godbole, V., Godwin, J., Antropova, N., Ashrafian, H., Back, T., Chesus, M., Corrado, G. S., Darzi, A., et al. (2020) · Nature · doi:10.1038/s41586-019-1799-6 · Cited by 3,287 · see citing works

A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy

Beede, E., Baylor, E., Hersch, F., Iurchenko, A., Wilcox, L., Ruamviboonsuk, P., & Vardoulakis, L. M. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376718 · Cited by 614 · see citing works

"Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-Making

Cai, C. J., Winter, S., Steiner, D., Wilcox, L., & Terry, M. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359206 · Cited by 594 · see citing works

Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy

Sayres, R., Taly, A., Rahimy, E., Blumer, K., Coz, D., Hammel, N., Krause, J., Narayanaswamy, A., Rastegar, Z., Wu, D., et al. (2019) · Ophthalmology · doi:10.1016/j.ophtha.2018.11.016 · Cited by 418 · see citing works

Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making

Cai, C. J., Reif, E., Hegde, N., Hipp, J., Kim, B., Smilkov, D., Wattenberg, M., Viegas, F., Corrado, G. S., Stumpe, M. C., et al. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300234 · Cited by 405 · see citing works

Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors

Strohm, L., Hehakaya, C., Ranschaert, E. R., Boon, W. P. C., & Moors, E. H. M. (2020) · European Radiology · doi:10.1007/s00330-020-06946-y · Cited by 329 · see citing works

CheXplain: Enabling Physicians to Explore and Understand Data-Driven, AI-Enabled Medical Imaging Analysis

Xie, Y., Chen, M., Kao, D., Gao, G., & Chen, X. '. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376807 · Cited by 141 · see citing works

BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions

Calisto, F. M., Santiago, C., Nunes, N., & Nascimento, J. C. (2022) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2022.102285 · Cited by 125 · see citing works

Co-design of human-centered, explainable AI for clinical decision support

Panigutti, C., Beretta, A., Fadda, D., Giannotti, F., Pedreschi, D., Perotti, A., & Rinzivillo, S. (2023) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3587271 · Cited by 127 · see citing works

Modeling adoption of intelligent agents in medical imaging

Calisto, F. M., Nunes, N., & Nascimento, J. C. (2022) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2022.102922 · Cited by 111 · see citing works

Computer‐Assisted Detection and Diagnosis

Nishikawa, R. M. (2006) · Encyclopedia of Medical Devices and Instrumentation · doi:10.1002/0471732877.emd310 · Cited by 2 · see citing works

Computer‐Aided Diagnosis (CAD) and Image‐Guided Decision Support

Huang, F. H. K. (2009) · doi:10.1002/9780470560525.ch25

Physicians’ Awareness of Mammography Charges

Saunders, A. F., Divine, G., & Weinberger, M. (1994) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(18)30565-8 · Cited by 3 · see citing works

[Application of computer aided diagnosis (CAD) in clinical imaging. Presentation of the value and current directions in CAD development in various imaging techniques based on literature review].

Kiszka, K., Haduch, J., & Pasowicz, M. (2009) · PubMed · Cited by 6 · see citing works

Diagnostic performance of radiologists with and without different CAD systems for mammography

Lauria, A., Fantacci, M. E., Bottigli, U., et al. (2003) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.480079 · Cited by 12 · see citing works