Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predicts pathologic complete response

PURPOSE: This study used machine learning classification of texture features from MRI of breast tumor and peri-tumor at multiple treatment time points in conjunction with molecular subtypes to predict eventual pathological complete response (PCR) to neoadjuvant chemotherapy. MATERIALS AND METHOD: Th...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Biomed Eng Online
Päätekijät: Hussain, Lal, Huang, Pauline, Nguyen, Tony, Lone, Kashif J., Ali, Amjad, Khan, Muhammad Salman, Li, Haifang, Suh, Doug Young, Duong, Tim Q.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BioMed Central 2021
Aiheet:
Research
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC8240261/
https://ncbi.nlm.nih.gov/pubmed/34183038
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12938-021-00899-z
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia