Litcius/Paper detail

Automated segmentation of chronic stroke lesion using efficient U-Net architecture

Hyunkwang Shin, Rockson Agyeman, Muhammad Rafiq, Min Cheol Chang, Gyu Sang Choi

2022Journal of Applied Biomedicine22 citationsDOI

Topics & Concepts

SegmentationComputer scienceArtificial intelligenceStroke (engine)Deep learningBlock (permutation group theory)EncoderPattern recognition (psychology)DiceLesionMedicinePathologyMathematicsStatisticsOperating systemGeometryMechanical engineeringEngineeringAcute Ischemic Stroke ManagementMedical Imaging and AnalysisBrain Tumor Detection and Classification
Automated segmentation of chronic stroke lesion using efficient U-Net architecture | Litcius