Precise segmentation techniques in various medical images
Today numerous imaging systems are utilized in medical treatment. There are a variety of
imaging techniques for the diagnosis of brain tumors, lung nodules and liver tumors and …
imaging techniques for the diagnosis of brain tumors, lung nodules and liver tumors and …
Survey on segmentation of liver from CT images
Liver cancer is one of the most popular cancer diseases and causes a large amount of death
every year. The chances for liver cancer in men and women have increased to 40% and …
every year. The chances for liver cancer in men and women have increased to 40% and …
Semi-automatic liver tumor segmentation with adaptive region growing and graph cuts
Z Yang, Y Zhao, M Liao, S Di, Y Zeng - Biomedical signal processing and …, 2021 - Elsevier
Segmenting liver tumors from computed tomography (CT) images plays a very important role
in computer-aided diagnosis, surgical planning, and treatment monitoring. However …
in computer-aided diagnosis, surgical planning, and treatment monitoring. However …
Focal dice loss-based V-Net for liver segments classification
Liver segmentation is a crucial step in surgical planning from computed tomography scans.
The possibility to obtain a precise delineation of the liver boundaries with the exploitation of …
The possibility to obtain a precise delineation of the liver boundaries with the exploitation of …
A residual-learning-based multi-scale parallel-convolutions-assisted efficient CAD system for liver tumor detection
Smart multimedia-based medical analytics and decision-making systems are of prime
importance in the healthcare sector. Liver cancer is commonly stated to be the sixth most …
importance in the healthcare sector. Liver cancer is commonly stated to be the sixth most …
Semi-automated segmentation of single and multiple tumors in liver CT images using entropy-based fuzzy region growing
Aims The liver CT image segmentation is still until now a challenging problem due to the
fuzzy nature of the tumor transition to the surrounding tissues. The objective of this article is …
fuzzy nature of the tumor transition to the surrounding tissues. The objective of this article is …
Recent survey on medical image segmentation
This chapter presents a survey on the techniques of medical image segmentation. Image
segmentation methods are given in three groups based on image features used by the …
segmentation methods are given in three groups based on image features used by the …
A computer-aided diagnostic system for liver tumor detection using modified U-Net architecture
A multimedia-based medical decision-making system is an ultimate requirement in the
medical imaging domain. In the healthcare sector, achieving quick and efficient results is …
medical imaging domain. In the healthcare sector, achieving quick and efficient results is …
[PDF][PDF] Comparison of segmentation tools for multiple modalities in medical imaging
S Bhadoria, P Aggarwal… - Journal of advances in …, 2012 - pdfs.semanticscholar.org
Image segmentation plays a crucial role in many medical imaging applications by extracting
the regions of interest. Accurate segmentation of medical images is a key step in the use of …
the regions of interest. Accurate segmentation of medical images is a key step in the use of …
Chest X-ray segmentation using Sauvola thresholding and Gaussian derivatives responses
This paper presents a simple, flexible and an effective lung segmentation technique called
ST-GD (Sauvola thresholding-Gaussian derivatives) method. In this technique Sauvola …
ST-GD (Sauvola thresholding-Gaussian derivatives) method. In this technique Sauvola …