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 …
ESDNN: A novel ensembled stack deep neural network for mango leaf disease classification and detection
The mango crop production and quality are affected by several factors. Plant disease is one
of the prime factors that impact crop yield. The disease impacts all parts of plants such as …
of the prime factors that impact crop yield. The disease impacts all parts of plants such as …
Efficient feature selection using BoWs and SURF method for leaf disease identification
M Bhagat, D Kumar - Multimedia Tools and Applications, 2023 - Springer
When plant diseases appear, they have an adverse effect on agricultural output. Food
insecurity would worsen if plant diseases were not identified accurately in time. Without early …
insecurity would worsen if plant diseases were not identified accurately in time. Without early …
[HTML][HTML] 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 …
[HTML][HTML] LWSNet-a novel deep-learning architecture to segregate Covid-19 and pneumonia from x-ray imagery
A Lasker, M Ghosh, SM Obaidullah… - Multimedia Tools and …, 2023 - Springer
Automatic detection of lung diseases using AI-based tools became very much necessary to
handle the huge number of cases occurring across the globe and support the doctors. This …
handle the huge number of cases occurring across the globe and support the doctors. This …
On imaging modalities for cephalometric analysis: a review
A Gupta - Multimedia Tools and Applications, 2023 - Springer
Cephalometrics is an integral part of orthodontic diagnosis and treatment planning. It has
been extensively used to study variation in human face and craniofacial growth …
been extensively used to study variation in human face and craniofacial growth …
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 …