2D-to-3D: a review for computational 3D image reconstruction from X-ray images

P Maken, A Gupta - Archives of Computational Methods in Engineering, 2023 - Springer
In the clinical research, three-dimensional/volumetric anatomical structure of the human
body is very significant for diagnosis, computer-aided surgery, surgical planning, patient …

A systematic review of the techniques for automatic segmentation of the human upper airway using volumetric images

P Maken, A Gupta, MK Gupta - Medical & Biological Engineering & …, 2023 - Springer
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 …

[HTML][HTML] PSMA-PET improves deep learning-based automated CT kidney segmentation

J Leube, M Horn, PE Hartrampf, AK Buck… - … Für Medizinische Physik, 2024 - Elsevier
For dosimetry of radiopharmaceutical therapies, it is essential to determine the volume of
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 …

Fully automated kidney image biomarker prediction in ultrasound scans using Fast-Unet++

MG Oghli, SM Bagheri, A Shabanzadeh… - Scientific Reports, 2024 - nature.com
Any kidney dimension and volume variation can be a remarkable indicator of kidney
disorders. Precise kidney segmentation in standard planes plays an undeniable role in …

HCIU: Hybrid clustered inception‐based UNET for the automatic segmentation of organs at risk in thoracic computed tomography images

M Ashok, A Gupta, M Pandey - International Journal of Imaging …, 2023 - Wiley Online Library
Automatic segmentation is the most effective and fast method to plan radiotherapy treatment
in thoracic computed tomography (CT), as manual segmentation takes time and produces …

Automatic segmentation of organs-at-Risk in thoracic computed tomography images using ensembled U-net InceptionV3 model

M Ashok, A Gupta - Journal of Computational Biology, 2023 - liebertpub.com
The objective of this article is to automatically segment organs at risk (OARs) for thoracic
radiology in computed tomography (CT) scan images. The OARs in the thoracic anatomical …

2.5 D MFFAU-Net: a convolutional neural network for kidney segmentation

P Sun, Z Mo, F Hu, X Song, T Mo, B Yu, Y Zhang… - BMC Medical Informatics …, 2023 - Springer
Background Kidney tumors have become increasingly prevalent among adults and are now
considered one of the most common types of tumors. Accurate segmentation of kidney …

A lightweight deep neural network implemented on MATLAB without using GPU for the automatic monitoring of the plants

A Gupta - Multimedia Tools and Applications, 2023 - Springer
Plants and trees are essential for the human kind which must be preserved and well taken
care for the growth of any country. Plants require intensive care which involves monitoring of …

Novel Solution for Using Neural Networks for Kidney Boundary Extraction in 2D Ultrasound Data

T Peng, Y Gu, SJ Ruan, QJ Wu, J Cai - Biomolecules, 2023 - mdpi.com
Background and Objective: Kidney ultrasound (US) imaging is a significant imaging modality
for evaluating kidney health and is essential for diagnosis, treatment, surgical intervention …