This model was trained from scratch with 5k images and scored aDice coefficientof 0.988423 on over 100k test images. It can be easily used for multiclass segmentation, portrait segmentation, medical segmentation, ... Usage Note : Use Python 3.6 or newer ...
This underscores MedSAM’s superior generalization ability, making it a versatile tool in a variety of medical image segmentation tasks. Loss function We used the unweighted sum between cross-entropy loss and dice loss40 as the final loss function since it has been proven to be robust across ...
3a shows the median dice similarity coefficient (DSC) score of these tasks for the four methods. Overall, SAM obtained the lowest performance on most segmentation tasks although it performed promisingly on some RGB image segmentation tasks, such as polyp (DSC: 91.3%, interquartile range (IQR):...
Finally, a pixel wise classification unit is performed to provide the final segmentation maps of the liver and tumors. Results on the challenging MICCAI'2017 liver tumor segmentation (LITS) database, using Alexnet model and 4-fold cross-validation, achieve a Dice similarity coefficient of 90.4% ...
Then with a gold standard of the prostate zones(anterior fibrous matrix zone, central zone, peripheral zone, and transition zone)manually segmented by doctors, Dice similarity coefficient(DSC)and 95% Hausdorff surface distance(HD95)were employed to evaluate the segmentation accuracy of the prostate ...
AMTA-Net This is a python (PyTorch) implementation ofAsymmetrical Multi-Task Attention Networkproposed in ourMICCAI2020paper"Asymmetrical Multi-Task Attention U-Net for the Segmentation of Prostate Bed in CT Image". An exhaustive extension of this work is published onMedical Image Analysisjournal pap...
In a leave-one-out experiment on 8 porcine specimens (3,600 slices), the proposed approach was shown to be promising by achieving average mean Dice similarity coefficient (DSC) of 0.84, Hausdorff distance (HD) of 6.35 mm, and average perpendicular distance (APD) of 1.09 mm when compared ...
Normalized mean enhancementvalues for mean absolute error, Hausdorff distance, and Dice index for all cases and all frames are0.44 ± 0.09, 0.42± 0.09, and 0.36 ± 0.06, respectively. 展开 关键词: Cubic B-spline interpolation speckle tracking temporal super-resolution three-dimensional ...
Automatic segmentation of the proximal femur achieved a high dice similarity score of 0.940.05 with precision = 0.950.02, and recall = 0.940.08 using a CNN architecture based on 3D convolution exceeding the performance of 2D CNNs. The high segmentation accuracy provided by CNNs has the ...
The COVID-19 pandemic overwhelms the medical resources in the stressed intensive care unit (ICU) capacity and the shortage of mechanical ventilation (MV). We performed CT-based analysis combined with electronic health records and clinical laboratory resu