<p>Semiautomated image analysis involves recognition and automated segmentation of each lymph node (A), quantitation of magnetic tissue parameters (T2*, variance of pixel values; [B]), comparison of extracted tissue parameter to a database (C), and 3D reconstruction of nodal anatomy onto vascular anatomy (D).</p
(A) The lymph node of interest (arrow) was manually segmented on the image processing and analysis s...
Several machine learning algorithms have demonstrated high predictive capability in the identificati...
Each slide is scanned and several areas are selected. A green line surrounds the selected area, and ...
<p>Structural imaging (CE-T1WI or T2WI) and nCBV maps were coregistered using the manual segmentatio...
Purpose: Computer aided diagnosis (CAD) of lymph node metastases may help reduce reading time and im...
© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Purpose Quantification of tumour burden in oncology requires accurate and reproducible image evaluat...
A large number of medical examinations involve images in some way. Images can be used for diagnostic...
This work presents preliminary results of a method for semi-automatic detection of fat and hematopoi...
<p>A) H&E stained image acquired at 200×magnification. B) Threshold of image distinguishes tissue fr...
Goal: To determine the feasibility of utilizing image segmentation to evaluate axillary lymph nodes ...
<p>Representative immunofluorescent image of Human Vena Saphena Cells (HVSCs), (A) stained for the a...
This article presents advanced algorithms for segmenting lung nodules, liver metastases, and enlarge...
Magnetic resonance imaging (MRI) is a medical imaging method used mainly for imaging soft tissue, su...
The development of automatic systems for medical image processing, which can effectively act as an a...
(A) The lymph node of interest (arrow) was manually segmented on the image processing and analysis s...
Several machine learning algorithms have demonstrated high predictive capability in the identificati...
Each slide is scanned and several areas are selected. A green line surrounds the selected area, and ...
<p>Structural imaging (CE-T1WI or T2WI) and nCBV maps were coregistered using the manual segmentatio...
Purpose: Computer aided diagnosis (CAD) of lymph node metastases may help reduce reading time and im...
© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Purpose Quantification of tumour burden in oncology requires accurate and reproducible image evaluat...
A large number of medical examinations involve images in some way. Images can be used for diagnostic...
This work presents preliminary results of a method for semi-automatic detection of fat and hematopoi...
<p>A) H&E stained image acquired at 200×magnification. B) Threshold of image distinguishes tissue fr...
Goal: To determine the feasibility of utilizing image segmentation to evaluate axillary lymph nodes ...
<p>Representative immunofluorescent image of Human Vena Saphena Cells (HVSCs), (A) stained for the a...
This article presents advanced algorithms for segmenting lung nodules, liver metastases, and enlarge...
Magnetic resonance imaging (MRI) is a medical imaging method used mainly for imaging soft tissue, su...
The development of automatic systems for medical image processing, which can effectively act as an a...
(A) The lymph node of interest (arrow) was manually segmented on the image processing and analysis s...
Several machine learning algorithms have demonstrated high predictive capability in the identificati...
Each slide is scanned and several areas are selected. A green line surrounds the selected area, and ...
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