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eess.IV2024
SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images
Bella Specktor-Fadida, Liat Ben-Sira, Dafna Ben-Bashat +1
Quality control of structures segmentation in volumetric medical images is important for identifying segmentation errors in clinical practice and for facilitating model development…
eess.IV2021★ 32 cited
Automatic linear measurements of the fetal brain on MRI with deep neural networks
Netanell Avisdris, Bossmat Yehuda, Ori Ben-Zvi +6
Timely, accurate and reliable assessment of fetal brain development is essential to reduce short and long-term risks to fetus and mother. Fetal MRI is increasingly used for fetal b…