Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography.
Jo OzakiTomoyuki FujiokaEmi YamagaAtsushi HayashiYu KujiraokaTomoki ImokawaKanae TakahashiSayuri OkawaYuka YashimaMio MoriKazunori KubotaGoshi OdaTsuyoshi NakagawaUkihide TateishiPublished in: Japanese journal of radiology (2022)
Our DL model demonstrated great diagnostic performance for differentiating benign from malignant axillary lymph nodes on breast ultrasound and for potentially providing effective diagnostic support to residents.
Keyphrases
- lymph node
- deep learning
- convolutional neural network
- sentinel lymph node
- magnetic resonance imaging
- artificial intelligence
- neoadjuvant chemotherapy
- contrast enhanced
- machine learning
- squamous cell carcinoma
- small cell lung cancer
- computed tomography
- ultrasound guided
- magnetic resonance
- radiation therapy
- early stage