Automated Whole‐Body Bone Lesion Detection for Multiple Myeloma on 68Ga‐Pentixafor PET/CT Imaging Using Deep Learning Methods
The identification of bone lesions is crucial in the diagnostic assessment of multiple
myeloma (MM). 68Ga‐Pentixafor PET/CT can capture the abnormal molecular expression of …
myeloma (MM). 68Ga‐Pentixafor PET/CT can capture the abnormal molecular expression of …
Three-dimensional segmentation of fluid-associated abnormalities in retinal OCT: probability constrained graph-search-graph-cut
An automated method is reported for segmenting 3-D fluid-associated abnormalities in the
retina, so-called symptomatic exudate-associated derangements (SEAD), from 3-D OCT …
retina, so-called symptomatic exudate-associated derangements (SEAD), from 3-D OCT …
Globally optimal tumor segmentation in PET-CT images: a graph-based co-segmentation method
Tumor segmentation in PET and CT images is notoriously challenging due to the low spatial
resolution in PET and low contrast in CT images. In this paper, we have proposed a general …
resolution in PET and low contrast in CT images. In this paper, we have proposed a general …
Mapping How Artificial Intelligence Blends with Healthcare: Insights from a Bibliometric Analysis
The integration of artificial intelligence (AI) into medical practice has become a critical focus
in contemporary medical research. This bibliometric analysis examined the scope of AI …
in contemporary medical research. This bibliometric analysis examined the scope of AI …
Lung nodule segmentation using deep learned prior based graph cut
S Mukherjee, X Huang… - 2017 IEEE 14th …, 2017 - ieeexplore.ieee.org
We propose an automated framework for lung nodule segmentation from pulmonary CT
scan using graph cut with a deep learned prior. The segmentation problem is formulated as …
scan using graph cut with a deep learned prior. The segmentation problem is formulated as …
A multistage discriminative model for tumor and lymph node detection in thoracic images
Analysis of primary lung tumors and disease in regional lymph nodes is important for lung
cancer staging, and an automated system that can detect both types of abnormalities will be …
cancer staging, and an automated system that can detect both types of abnormalities will be …
Cardiac MRI segmentation using mutual context information from left and right ventricle
D Mahapatra - Journal of digital imaging, 2013 - Springer
In this paper, we propose a graphcut method to segment the cardiac right ventricle (RV) and
left ventricle (LV) by using context information from each other. Contextual information is …
left ventricle (LV) by using context information from each other. Contextual information is …
Simultaneous nonrigid registration, segmentation, and tumor detection in MRI guided cervical cancer radiation therapy
C Lu, S Chelikani, DA Jaffray… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
External beam radiation therapy (EBRT) for the treatment of cancer enables accurate
placement of radiation dose on the cancerous region. However, the deformation of soft …
placement of radiation dose on the cancerous region. However, the deformation of soft …
Cardiac LV and RV segmentation using mutual context information
D Mahapatra, JM Buhmann - … Workshop on Machine Learning in Medical …, 2012 - Springer
In this paper we propose a graph cut based method to segment the cardiac right ventricle
(RV) and left ventricle (LV) by using mutual context information. In addition to the …
(RV) and left ventricle (LV) by using mutual context information. In addition to the …
A novel lung nodule accurate segmentation of PET-CT images based on Convolutional neural network and Graph Model
X Xia, R Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
Positron Emission Tomography and Computed Tomography (PET/CT) imaging could obtain
functional metabolic feature information and anatomical localization information of the …
functional metabolic feature information and anatomical localization information of the …