Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Jelica Vasiljevic"'
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-15 (2024)
Abstract Dissecting tissue compartments in spatial transcriptomics (ST) remains challenging due to limited spatial resolution and dependence on single-cell reference data. We present Chrysalis, a computational method that rapidly uncovers tissue comp
Externí odkaz:
https://doaj.org/article/60ffdf34ee594afcaf151d5852f035ee
Publikováno v:
Neurocomputing
Neurocomputing, Elsevier, 2021, 460, pp.277-291. ⟨10.1016/j.neucom.2021.07.005⟩
Neurocomputing, 2021, 460, pp.277-291. ⟨10.1016/j.neucom.2021.07.005⟩
Neurocomputing, Elsevier, 2021, 460, pp.277-291. ⟨10.1016/j.neucom.2021.07.005⟩
Neurocomputing, 2021, 460, pp.277-291. ⟨10.1016/j.neucom.2021.07.005⟩
The application of supervised deep learning methods in digital pathology is limited due to their sensitivity to domain shift. Digital Pathology is an area prone to high variability due to many sources, including the common practice of evaluating seve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c810a29fcc27e2421064d0ebdffd3b1
