Classification of breast cancer in ultrasound imaging using a generic deep learning analysis software: a pilot study.
Anton Sebastian BeckerMichael MuellerElina StoffelMagda MarconSoleen GhafoorAndreas BossPublished in: The British journal of radiology (2018)
DLS may aid diagnosing cancer on breast ultrasound images with an accuracy comparable to radiologists, and learns better and faster than a human reader with no prior experience. Further clinical trials with dedicated algorithms are warranted. Advances in knowledge: DLS can be trained classify cancer on breast ultrasound images high accuracy even with comparably few training cases. The fast evaluation speed makes real-time image analysis feasible.
Keyphrases
- deep learning
- artificial intelligence
- convolutional neural network
- papillary thyroid
- machine learning
- clinical trial
- magnetic resonance imaging
- squamous cell
- endothelial cells
- healthcare
- optical coherence tomography
- childhood cancer
- randomized controlled trial
- lymph node metastasis
- contrast enhanced ultrasound
- ultrasound guided
- young adults
- open label
- pluripotent stem cells
- virtual reality