2D-to-3D: a review for computational 3D image reconstruction from X-ray images
In the clinical research, three-dimensional/volumetric anatomical structure of the human
body is very significant for diagnosis, computer-aided surgery, surgical planning, patient …
body is very significant for diagnosis, computer-aided surgery, surgical planning, patient …
A systematic review of the automatic kidney segmentation methods in abdominal images
M Pandey, A Gupta - Biocybernetics and Biomedical Engineering, 2021 - Elsevier
Abstract Background and Purpose The precise kidney segmentation is very helpful for
diagnosis and treatment planning in urology, by giving information about malformation in the …
diagnosis and treatment planning in urology, by giving information about malformation in the …
Brain tumor detection and classification using cycle generative adversarial networks
Brain cancer ranks tenth on the list of leading causes of death in both men and women.
Biopsy is one of the most used methods for diagnosing cancer. However, the biopsy process …
Biopsy is one of the most used methods for diagnosing cancer. However, the biopsy process …
A lightweight deep learning architecture for the automatic detection of pneumonia using chest X-ray images
M Trivedi, A Gupta - Multimedia Tools and Applications, 2022 - Springer
Pneumonia is a life-threatening respiratory lung disease. Children are more prone to be
affected by the disease and accurate manual detection is not easy. Generally, chest …
affected by the disease and accurate manual detection is not easy. Generally, chest …
A statistical deformation model-based data augmentation method for volumetric medical image segmentation
The accurate delineation of organs-at-risk (OARs) is a crucial step in treatment planning
during radiotherapy, as it minimizes the potential adverse effects of radiation on surrounding …
during radiotherapy, as it minimizes the potential adverse effects of radiation on surrounding …
A systematic review of the techniques for automatic segmentation of the human upper airway using volumetric images
The human upper airway is comprised of many anatomical volumes. The obstructions in the
upper airway volumes are needed to be diagnosed which requires volumetric segmentation …
upper airway volumes are needed to be diagnosed which requires volumetric segmentation …
Convolution neural network based automatic localization of landmarks on lateral x-ray images
Cephalometric analysis is very essential for the patient having dentofacial and craniofacial
deformities. The manual localization of the cephalometric landmarks is also important and …
deformities. The manual localization of the cephalometric landmarks is also important and …
[HTML][HTML] PSMA-PET improves deep learning-based automated CT kidney segmentation
For dosimetry of radiopharmaceutical therapies, it is essential to determine the volume of
relevant structures exposed to therapeutic radiation. For many radiopharmaceuticals, the …
relevant structures exposed to therapeutic radiation. For many radiopharmaceuticals, the …
Tumorous kidney segmentation in abdominal CT images using active contour and 3D-UNet
M Pandey, A Gupta - Irish Journal of Medical Science (1971-), 2023 - Springer
Background and purpose The precise segmentation of the kidneys in computed tomography
(CT) images is vital in urology for diagnosis, treatment, and surgical planning. Medical …
(CT) images is vital in urology for diagnosis, treatment, and surgical planning. Medical …
Automatic segmentation of organs at risk and tumors in CT images of lung cancer from partially labelled datasets with a semi-supervised conditional nnU-Net
G Zhang, Z Yang, B Huo, S Chai, S Jiang - Computer methods and …, 2021 - Elsevier
Abstract Background and Objective Accurately and reliably defining organs at risk (OARs)
and tumors are the cornerstone of radiation therapy (RT) treatment planning for lung cancer …
and tumors are the cornerstone of radiation therapy (RT) treatment planning for lung cancer …