Computer‐aided diagnosis of prostate cancer on magnetic resonance imaging using a convolutional neural network algorithm
By J. Ishioka, Y. Matsuoka, S. Uehara, Y. Yasuda, T. Kijima, S. Yoshida, M. Yokoyama, K. Saito, K. Kihara, N. Numao and 4 more. 2018
99 citations recorded by the source corpus.
To develop a computer‐aided diagnosis (CAD) algorithm with a deep learning architecture for detecting prostate cancer on magnetic resonance imaging (MRI) to promote global standardisation and diminish variation in the interpretation of prostate MRI.
Subfields: Artificial Intelligence, Pulmonary and Respiratory Medicine, Radiation
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Pulmonary and Respiratory Medicine
In Radiation
Citations in the corpus
- An overview of deep learning in medical imaging focusing on MRI (2018, methodology): “[288] Computer-aided diagnosis with a CNN, deciding ‘cancer’ ‘no cancer’ trained on data from 301 patients with a”