Deep learning technology for improving cancer care in society: New directions in cancer imaging driven by artificial intelligence
Top Cited Papers
- 1 February 2020
- journal article
- research article
- Published by Elsevier BV in Technology in Society
- Vol. 60, 101198
- https://doi.org/10.1016/j.techsoc.2019.101198
Abstract
No abstract availableFunding Information
- National Research Council
This publication has 63 references indexed in Scilit:
- The Nexus between technological performances of countries and incidence of cancers in societyTechnology in Society, 2015
- Path-breaking directions of nanotechnology-based chemotherapy and molecular cancer therapyTechnological Forecasting and Social Change, 2015
- ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision, 2015
- Path-breaking target therapies for lung cancer and a far-sighted health policy to support clinical and cost effectivenessHealth Policy and Technology, 2014
- The effect of country wealth on incidence of breast cancerBreast Cancer Research and Treatment, 2013
- Driving forces of technological change in medicine: Radical innovations induced by side effects and their impact on society and healthcareTechnology in Society, 2012
- Evolutionary growth of knowledge in path-breaking targeted therapies for lung cancer: radical innovations and structure of the new technological paradigmInternational Journal of Behavioural and Healthcare Research, 2012
- Computer-aided Diagnosis: How to Move from the Laboratory to the ClinicRadiology, 2011
- Targeted therapies for non-small cell lung cancerLung Cancer, 2010
- Towards a More Historical Approach to Technological ChangeThe Economic Journal, 1997