Automatic extraction of liver and tumor from CT volumes is a challenging task due to their
heterogeneous and diffusive shapes. Recently, 2D deep convolutional neural networks …

The liver is an important and multifunctional human organ. Early and accurate diagnosis of a
liver tumor can save lives. Computed Tomography (CT) images provide comprehensive …

One of the leading causes of cancer death is liver cancer. The most common type of primary
liver cancer in adults is Hepatocellular carcinoma (HCC), and it is also the most common …

Liver cancer patients have a high death rate due to the diagnosis of the disease in the final
stages. Computer-aided diagnosis from various medical imaging techniques can assist …

Aiming at the segmentation challenges caused by low contrast, fuzzy boundary and variant
grayscale of liver tumors in abdominal CT images, an automatic liver tumor segmentation …

针对腹部CT 图像肝脏肿瘤对比度低, 边界模糊, 灰度多样等因素引起的分割困难,
提出基于非线性增**和图割的肝脏肿瘤自动分割. 首先根据肝脏区域灰度分布特性 …

Tumor detection in biomedical imaging is a time-consuming process for medical
professionals and is not without errors. Thus in recent decades, researchers have …

Deep learning is a recent field of machine learning that has garnered a great deal of
attention in recent years. It has been commonly used for a variety of applications and has …

Hepatic disease is the eighth leading cause of death in Indonesia. So far, histologists still
use manual way to calculate hepar damage score. With digital image technique is expected …

CT-and MRI-based imaging modalities are non-invasive, fast, and accurate in the diagnosis
of different anatomical and pathological disorders. As such, there is a pertinent requirement …