Tumor Detection Based on 3D Segmentation Using Region of Interest

TM Rajesh, SG Shaila… - High-Performance Medical …, 2022 - api.taylorfrancis.com
The chapter addressed two complex issues segmenting 2D slices of CT or MRI and view
segmented 2D slices in 3D viewer. For segmenting 2D slices, we used the watershed …

An Approach to Radiotherapy Treatment Planning based on Machine Learning Algorithms

K Divya, CH Bhargavi, M Abirami… - … on Expert Clouds …, 2024 - ieeexplore.ieee.org
Customizing radiation treatments for each patient is a formidable obstacle in the fight against
cancer. Because they rely on human intervention and generalization, traditional methods …

Globally optimal lung tumor co-segmentation of 4D CT and PET images

J Bai, Q Song, SK Bhatia, X Wu - Medical Imaging 2013 …, 2013 - spiedigitallibrary.org
Four-dimensional CT scans provides valuable motion information of patient throughout
different respiratory phases. PET, on the other hand, provides functional information about …

Principal curve based semi-automatic segmentation of organs in 3D-CT

S You, E Bas, E Ataer-Cansizoglu… - … Conference of the …, 2011 - ieeexplore.ieee.org
Radiation therapy plays an important and effective role in the treatment of cancer. A main
goal in radiation therapy is to deliver high radiation doses to the perceived tumors while …

Efficient optimization for labeling problems with prior information: Applications to natural and medical images

J Bai - 2016 - search.proquest.com
Labeling problem, due to its versatile modeling ability, is widely used in various image
analysis tasks. In practice, certain prior information is often available to be embedded in the …

[PDF][PDF] Principal Curve Based Semi-Automatic Segmentation of Organs in

S You, E Bas, E Ataer-Cansizoglu, J Kalpathy-Cramer… - academia.edu
Radiation therapy plays an important and effective role in the treatment of cancer. A main
goal in radiation therapy is to deliver high radiation doses to the perceived tumors while …

[引用][C] Human Investigations Program

C Allen, D Covell, M Scharf, APRON Letter - 2013

[引用][C] Department of Medical Informatics and Clinical Epidemiology

C Allen, D Covell, K Kent, O McCarty, S Molloy… - 2013