Automatic assessing the location and extent of liver and liver tumor is critical for radiologists,
diagnosis and the clinical process. In recent years, a large number of variants of U-Net …

Ultrasound imaging is a standard examination during pregnancy that can be used for
measuring specific biometric parameters towards prenatal diagnosis and estimating …

Segmentation of images is a common task within medical image analysis and a necessary
component of medical image segmentation. The segmentation of the liver and liver tumors is …

Deep Learning approaches for automatic segmentation of organs from CT scans and MRI
are providing promising results, leading towards a revolution in the radiologists' workflow …

Recently deep learning has been playing a major role in the field of computer vision. One of
its applications is the reduction of human judgment in the diagnosis of diseases. Especially …

Segmentation of the liver and tumours from computed tomography (CT) scans is an
important task in hepatic surgical planning. Manual segmentation of the liver and tumours is …

Recently, usage of image processing in machine learning (ML) is growing fast. Medical
image processing, image segmentation, computer-aided diagnosis, image transformation …

In recent years, several deep learning networks are proposed to segment 2D or 3D bio-
medical images. However, in liver and lesion segmentation, the proportion of interested …

Liver image segmentation has been increasingly employed for key medical purposes,
including liver functional assessment, disease diagnosis, and treatment. In this work, we …

One of the essential tasks in medical image analysis is segmentation and accurate detection
of borders. Lesion segmentation in skin images is an essential step in the computerized …