PU-NET deep learning architecture for gliomas brain tumor segmentation in magnetic resonance images

URN:NBN:SI:DOC-YGKM21S22023Azzi, JasminaKechadi, Mohand-TaharMoussaoui, Abdelouahabdocuments/doc/Y/URN_NBN_SI_doc-YGKM21S2_001.pdfdocuments/doc/Y/URN_NBN_SI_doc-YGKM21S2_001.txt342articlestr. 197-20610.5566/ias.28791580-3139244986115URN:NBN:SI:doc-YGKM21S2engDruštvo za stereologijo in kvantitativno analizo slike, Medicinska fakultetaImage analysis and stereologyBYgliomigloboko učenjemagnetna resonancamožganski tumortumorska segmentacijaU-netPU-NET deep learning architecture for gliomas brain tumor segmentation in magnetic resonance images