Automated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma

Accurate prognostic biomarkers in early-stage melanoma are urgently needed to stratify patients for clinical trials of adjuvant therapy. We applied a previously developed open source deep learning algorithm to detect tumor-infiltrating lymphocytes (TILs) in hematoxylin and eosin (H&E) images of...

Fuld beskrivelse

Na minha lista:
Bibliografiske detaljer
Udgivet i:Sci Rep
Main Authors: Moore, Michael R., Friesner, Isabel D., Rizk, Emanuelle M., Fullerton, Benjamin T., Mondal, Manas, Trager, Megan H., Mendelson, Karen, Chikeka, Ijeuru, Kurc, Tahsin, Gupta, Rajarsi, Rohr, Bethany R., Robinson, Eric J., Acs, Balazs, Chang, Rui, Kluger, Harriet, Taback, Bret, Geskin, Larisa J., Horst, Basil, Gardner, Kevin, Niedt, George, Celebi, Julide T., Gartrell-Corrado, Robyn D., Messina, Jane, Ferringer, Tammie, Rimm, David L., Saltz, Joel, Wang, Jing, Vanguri, Rami, Saenger, Yvonne M.
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2021
Fag:
Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7854647/
https://ncbi.nlm.nih.gov/pubmed/33531581
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-82305-1
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker