Ultrasound-based deep learning radiomics nomogram for differentiating mass mastitis from invasive breast cancer

Salvato in:

Dettagli Bibliografici
Pubblicato in:	BMC Medical Imaging vol. 24 (2024), p. 1
Autore principale:	Wu, Linyong
Altri autori:	Li, Songhua, Wu, Chaojun, Wu, Shaofeng, Lin, Yan, Dayou Wei
Pubblicazione:	Springer Nature B.V.
Soggetti:	Datasets Wavelet transforms Supervised learning Phenotypes Unsupervised learning Data systems Image processing Machine learning Radiomics Decision trees Heterogeneity Physicians Clustering Lymphatic system Biopsy Ultrasound Information processing Computers Ultrasonic imaging Decision making Software Womens health Deep learning Models Visual discrimination learning Clinical medicine Nomograms Cancer therapies Mammography Information systems Work experience Medical imaging Breast cancer Learning algorithms Mastitis Cluster analysis Artificial intelligence Support vector machines Ultrasonic testing Neural networks Visual discrimination Vector quantization Invasiveness
Accesso online:	Citation/Abstract Full Text Full Text - PDF
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Lascia un commento!