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Toplam kayıt 3, listelenen: 1-3
Multi-hypothesis contextual modeling for semantic segmentation
(Elsevier Science Bv, 2019)
Semantic segmentation (i.e. image parsing) aims to annotate each image pixel with its corresponding semantic class label. Spatially consistent labeling of the image requires an accurate description and modeling of the local ...
Interactive framework for Covid-19 detection and segmentation with feedback facility for dynamically improved accuracy and trust
(Public Library of Science, 2022)
Due to the severity and speed of spread of the ongoing Covid-19 pandemic, fast but accurate diagnosis of Covid-19 patients has become a crucial task. Achievements in this respect might enlighten future efforts for the ...
Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust
(Public Library of Science, 2023)
Brain cancers caused by malignant brain tumors are one of the most fatal cancer types with a low survival rate mostly due to the difficulties in early detection. Medical professionals therefore use various invasive and ...