References
- Umar AA, Atabo SM. A review of imaging techniques in scientific research/clinical diagnosis. MOJ Anat Physiol. 2019;6(5):175–183. doi:https://doi.org/10.15406/mojap.2019.06.00269.
- Goodman PC. The new light: discovery and introduction of the X-ray. AJR Am J Roentgenol. 1995;165(5):1041–1045. doi:https://doi.org/10.2214/ajr.165.5.7572473.
- Roentgen WC. Ueber eine neue art von Strahlen. Sitzber Physik Med Ges WUrzberg. 1895:132–141.
- Reed AB. The history of radiation use in medicine. J Vascular Surgery. 2011;53:35–55.
- Brecher R, Brecher E. The rays: a history of radiology in the United States and Canada. Baltimore: Williams and Williams; 1969.
- Scatliff JH, Morris PJ. From roentgen to magnetic resonance imaging: the history of medical imaging. NC Med J. 2014;75(2):111–3. doi:https://doi.org/10.18043/ncm.75.2.111.
- Science Learning Hub. Developments in medical imaging – timeline. Available from: https://www.sciencelearn.org.nz/resources/1906-developments-in-medical-imaging.
- Krupinski EA. Current perspectives in medical image perception. Atten Percept Psychophys. 2010;72(5):1205–1217. doi:https://doi.org/10.3758/APP.72.5.1205.
- Berlin L. Accuracy of diagnostic procedures: has it improved over the past five decades. AJR. 2007;188:1173–1178.
- Waite S, Scott J, Gale B, et al. Interpretive error in radiology. Am J Roentgenology. 2017;208:739–749.
- Castillo D, Lakshminarayanan V, Rodrigez-Alvarez MJ. MR images, brain lesions and deep learning. Appl Sci. 2021;11:1675, https://doi.org/https://doi.org/10.3390/app11041675.
- Jiménez Y, Rodríguez MJ, Lakshminarayanan V, et al. Deep learning based computer-aided systems for breast cancer imaging: a critical review. Appl. Sci. 2020;10:8298, doi:https://doi.org/10.3390/app10228-298.