May 12, 2023 � The paper proposes using the popular lightweight “Efficient-Net” as the backbone network of PSP-Net for feature extraction, thereby reducing the overall model�...

This paper aims to propose a lightweight, resource-efficient model for the accurate segmentation of liver and tumors in contrast-enhanced CT scans. To this end,�...

In this paper we propose a method for automated liver segmentation from images that is invariant in provisions of size, shape and intensity values. The system�...

The segmentation of the liver and tumors present in the liver is an essential task for the diagnosis of liver cancer and surgical treatment planning.

Efficient-PSP-Net is the original paper introducing a lightweight model for liver and tumor segmentation in CT scans, utilizing a Pyramid Pooling Module (PPM)�...

Aug 19, 2022 � This paper proposes a novel neural network (Res-PAC-UNet) that employs a fixed-width residual UNet backbone and Pyramid Atrous Convolutions, providing a low�...

Second, the paper proposes using the popular lightweight “Efficient-Net” as the backbone network of PSP-Net for feature extraction,�...

Apr 30, 2024 � Efficient-PSP-Net is the original paper introducing a lightweight model for liver and tumor segmentation in CT scans, utilizing a Pyramid�...

This work proposes space pyramid attention (SPA)-UNet, a novel image segmentation network with an encoder-decoder architecture.

Efficient-PSP-Net: A Lightweight Model for the Segmentation of Liver and Tumor in CT Scans ... Robust and Efficient Segmentation of Cross-domain Medical Images.