Spinal cord MRI segmentation techniques and algorithms: A survey
S Garg, SR Bhagyashree - SN Computer Science, 2021 - Springer
Spinal cord tumour is an abnormal growth of cells in and around the spinal cord. Detecting
spinal cord tumours is a very crucial process. Identifying the tumour from MRI is difficult …
spinal cord tumours is a very crucial process. Identifying the tumour from MRI is difficult …
Comparison of machine learning algorithms for the classification of spinal cord tumor
S Garg, B Raghavan - Irish Journal of Medical Science (1971-), 2024 - Springer
Spinal cord Tumor has been characterized as a heterogeneous disease consisting of many
different subtypes. The early diagnosis and prognosis of a cancer type have become a …
different subtypes. The early diagnosis and prognosis of a cancer type have become a …
Comparative analysis of various filters for denoising of the spinal cord MRIs
S Garg, SR Bhagyashree - Biomedical Engineering: Applications …, 2022 - World Scientific
Magnetic Resonance Imaging (MRI) techniques are a fundamental and imperative part of
the medical image processing field. The images acquired from the MRI machines are …
the medical image processing field. The images acquired from the MRI machines are …
Distinguishing Kidney Tumor Types Using Radiomics Features and Deep Features
Despite technological advances in diagnostic imaging, to distinguish the type of renal tumor
without performing a biopsy is still an unsolved challenge. In particular, this is even more …
without performing a biopsy is still an unsolved challenge. In particular, this is even more …
Development of artificial intelligence based systems for biomedical applications
R Magherini - 2024 - flore.unifi.it
The recent and more advanced applications of artificial intelligence (AI) reached a wide
range of fields, transforming traditional workflows, perfecting current techniques, and …
range of fields, transforming traditional workflows, perfecting current techniques, and …
Design of an Efficient Bioinspired Multidomain Feature Processing Model for Identification of Spinal Cord Tumours via Convolutional Networks
S Garg, SR Bhagyashree - 2023 IEEE World Conference on …, 2023 - ieeexplore.ieee.org
Classifying spinal cord tumours from Magnetic Resonance Imaging (MRI) is a multidomain
task, which involves segmentation of tumour regions, representation of these regions into …
task, which involves segmentation of tumour regions, representation of these regions into …
Improving Efficiency of Spinal Cord Image Segmentation Using Transfer Learning Inspired Mask Region-Based Augmented Convolutional Neural Network
S Garg, SR Bhagyashree - International Conference on Data Analytics & …, 2023 - Springer
Spinal cord magnetic resonance images (MRIs) consists of 7 levels of cervical vertebrae, 12
levels of thoracic vertebrae, 5 levels of lumbar vertebrae, one level each of sacrum and …
levels of thoracic vertebrae, 5 levels of lumbar vertebrae, one level each of sacrum and …
Earlier detection of brain cells mutation using region based fast convolutional neural networks (RFCNN)
A brain tumor is formed by a group of tissue where anomalous cells aregradually added and
the most challenging task is classifying brain tumor using magnetic resonance imaging …
the most challenging task is classifying brain tumor using magnetic resonance imaging …