Deep federated machine learning-based optimization methods for liver tumor diagnosis: A review
AM Anter, L Abualigah - Archives of Computational Methods in …, 2023 - Springer
Computer-aided liver diagnosis helps doctors accurately identify liver abnormalities and
reduce the risk of liver surgery. Early diagnosis and detection of liver lesions depend mainly …
reduce the risk of liver surgery. Early diagnosis and detection of liver lesions depend mainly …
Comparison and evaluation of methods for liver segmentation from CT datasets
This paper presents a comparison study between 10 automatic and six interactive methods
for liver segmentation from contrast-enhanced CT images. It is based on results from the …
for liver segmentation from contrast-enhanced CT images. It is based on results from the …
Review of liver segmentation and computer assisted detection/diagnosis methods in computed tomography
Computed tomography (CT) imaging remains the most utilized modality for liver-related
cancer screening and treatment monitoring purposes. Liver, liver tumor and liver vasculature …
cancer screening and treatment monitoring purposes. Liver, liver tumor and liver vasculature …
Survey on liver CT image segmentation methods
AM Mharib, AR Ramli, S Mashohor… - Artificial Intelligence …, 2012 - Springer
The segmentation of liver using computed tomography (CT) data has gained a lot of
importance in the medical image processing field. In this paper, we present a survey on liver …
importance in the medical image processing field. In this paper, we present a survey on liver …
Deep learning initialized and gradient enhanced level-set based segmentation for liver tumor from CT images
Liver and liver tumor segmentation provides vital biomarkers for surgical planning and
hepatic diagnosis. In this paper, we propose and validate a novel level-set method …
hepatic diagnosis. In this paper, we propose and validate a novel level-set method …
Automatic segmentation of the liver from multi-and single-phase contrast-enhanced CT images
L Ruskó, G Bekes, M Fidrich - Medical Image Analysis, 2009 - Elsevier
Segmentation of contrast-enhanced abdominal CT images is required by many clinical
applications of computer aided diagnosis and therapy planning. The research on automated …
applications of computer aided diagnosis and therapy planning. The research on automated …
Toward reliable automatic liver and tumor segmentation using convolutional neural network based on 2.5 D models
G Wardhana, H Naghibi, B Sirmacek… - International journal of …, 2021 - Springer
Purpose We investigated the parameter configuration in the automatic liver and tumor
segmentation using a convolutional neural network based on 2.5 D model. The …
segmentation using a convolutional neural network based on 2.5 D model. The …
Liver segmentation by intensity analysis and anatomical information in multi-slice CT images
AH Foruzan, R Aghaeizadeh Zoroofi, M Hori… - International journal of …, 2009 - Springer
Purpose Quantitative assessment and essentially segmentation of liver and its tumours are
of clinical importance in various procedures such as diagnosis, treatment planning, and …
of clinical importance in various procedures such as diagnosis, treatment planning, and …
Liver segmentation in contrast enhanced CT data using graph cuts and interactive 3D segmentation refinement methods
Purpose: Liver segmentation is an important prerequisite for the assessment of liver cancer
treatment options like tumor resection, image‐guided radiation therapy (IGRT) …
treatment options like tumor resection, image‐guided radiation therapy (IGRT) …
[PDF][PDF] Medical images authentication through watermarking preserving ROI
SC Rathi, VS Inamdar - Health Informatics-An International Journal …, 2012 - academia.edu
Telemedicine is a well-known application where enormous amount of medical data need to
be securely transferred over the public network and manipulate effectively. Medical image …
be securely transferred over the public network and manipulate effectively. Medical image …