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Use of a Novel Deep Learning Open-Source Model for Quantifi..:
Talat Zehra
;
Nazish Jaffar
;
Mahin Shams
...
https://www.mdpi.com/2075-4418/13/19/3105. , 2023
Link:
https://doi.org/10.3390/diagnostics13193105
RT Journal T1
Use of a Novel Deep Learning Open-Source Model for Quantification of Ki-67 in Breast Cancer Patients in Pakistan: A Comparative Study between the Manual and Automated Methods
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:42b1cb115dad436e973335e73a1b1129&Exemplar=1&LAN=DE A1 Talat Zehra A1 Nazish Jaffar A1 Mahin Shams A1 Qurratulain Chundriger A1 Arsalan Ahmed A1 Fariha Anum A1 Najah Alsubaie A1 Zubair Ahmad PB MDPI AG YR 2023 K1 AI (artificial intelligence) K1 breast neoplasms K1 deep learning K1 computer-assisted image processing K1 immunohistochemistry K1 Ki-67 antigen K1 Medicine (General) K1 R5-920 JF https://www.mdpi.com/2075-4418/13/19/3105 LK http://dx.doi.org/https://doi.org/10.3390/diagnostics13193105 DO https://doi.org/10.3390/diagnostics13193105 SF ELIB - SuUB Bremen
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