Liver Cancer Detection Using Hybridized Fully Convolutional Neural Network Based on Deep Learning Framework Liver cancer is one of the world's largest causes of death to humans. It is a difficult task ...

Investigators of the Vall d’Hebron Institute of Oncology’s (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a ...

Most cases arise in the context of chronic hepatitis or liver cirrhosis, where underlying liver damage and fibrosis make early tumor detection particularly challenging.

But, while methylation sequencing has been shown to detect late-stage cancers with high sensitivity, results in early cancer detection have been less promising.

Developing chemiluminescent (CL) probes with a high tumor-to-normal tissue ratio is crucial for liver tumor visualization and image-guided surgery. Cytochrome P450 2J2 (CYP 2J2), an extrahepatic ...

This paper aims to develop a Matlab application for computer-assisted learning in the evaluation of liver tumors using ultrasound. Diagnosing liver tumors detected during standard ultrasound exams is ...

229Background: Liver cancer hasahigh recurrence rate of 50%-70% for early-stage patients. Minimal residual disease (MRD) is closely correlated with cancer early recurrence. Here, we developed ...

Liver-Tumor-Detection! Now a day’s liver cancer is one of the most prevalent diseases that may be extremely fatal if not properly diagnosed at early stage. The exponential growth of cells in liver is ...

This uses matlab app designer, Tumordetection.prj it is the project file where u can find the code and make changes in the design and code, Tumordetection.mlappinstall it is the package file that can ...