This paper proposes an end-to-end trained fully convolutional neural network model to process 3D image volumes. Unlike previous works that processed the input volumes slice-wise or patch-wise, the ...

A novel AI model, MHP-Net, enables accurate liver tumor segmentation from CT scans using very small training datasets. It achieves high Dice similarity scores (0.691–0.719 with 7–28 tumors ...