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pro vyhledávání: '"Prasun Chandra Tripathi"'
Autor:
Prasun Chandra Tripathi, Soumen Bag
Publikováno v:
IET Image Processing, Vol 14, Iss 15, Pp 3705-3717 (2020)
Segmentation of tissues in brain magnetic resonance (MR) images has a crucial role in computer‐aided diagnosis (CAD) of various brain diseases. However, due to the complex anatomical structure and the presence of intensity non‐uniformity (INU) ar
Externí odkaz:
https://doaj.org/article/7fee9c8c6aeb4824b52d6f0f3a6eb09b
Autor:
Prasun Chandra Tripathi, Soumen Bag
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. :1-14
Glioma has emerged as the deadliest form of brain tumor for human beings. Timely diagnosis of these tumors is a major step towards effective oncological treatment. Magnetic Resonance Imaging (MRI) typically offers a non-invasive inspection of brain l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a16a537d44583a7feea3d6d7ece4fcc1
https://doi.org/10.1109/tcbb.2022.3220902
https://doi.org/10.1109/tcbb.2022.3220902
Autor:
Soumen Bag, Prasun Chandra Tripathi
Publikováno v:
Pattern Recognition Letters. 135:57-63
Magnetic Resonance Images (MRI) are often contaminated by rician noise at the acquisition time. This type of noise typically deteriorates the performance of disease diagnosis by a human observer or an automated system. Thus, it is necessary to remove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e43a10b2ac058ff8a9b71a16dc93cadc
https://doi.org/10.1016/j.patrec.2020.03.036
https://doi.org/10.1016/j.patrec.2020.03.036
Autor:
Soumen Bag, Prasun Chandra Tripathi
Publikováno v:
IJCNN
Magnetic Resonance Imaging (MRI) are typically corrupted with random noise. This type of noise exhibits the characteristics of Rician distribution in MRI scans. Noise in MRI scans degrades the accuracy of manual and computerized inspection of disease
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c279b49dbd61ce4480ca9a808e46e8a
https://doi.org/10.1109/ijcnn52387.2021.9533653
https://doi.org/10.1109/ijcnn52387.2021.9533653
Autor:
Prasun Chandra Tripathi, Soumen Bag
Publikováno v:
Computer methods and programs in biomedicine. 215
Among different cancer types, glioma is considered as a potentially fatal brain cancer that arises from glial cells. Early diagnosis of glioma helps the physician in offering effective treatment to the patients. Magnetic Resonance Imaging (MRI)-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a28f01c9f71057970cc529bc30a89ab
https://pubmed.ncbi.nlm.nih.gov/34974232
https://pubmed.ncbi.nlm.nih.gov/34974232
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811500343
SocProS (1)
SocProS (1)
Astrocytoma is a common type of brain tumor that develops in the glial cells in cerebrum or astrocytes. In a malignant form, it is associated with high mortality. Identifying its grade helps the physicians to think about effective treatment. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::789db903089db8964c6ea4e2bbc24312
https://doi.org/10.1007/978-981-15-0035-0_36
https://doi.org/10.1007/978-981-15-0035-0_36
Autor:
Soumen Bag, Prasun Chandra Tripathi
Publikováno v:
Computational Intelligence in Pattern Recognition ISBN: 9789811390418
Identifying the tumor grade has an important role in surgery planning. A medical practitioner assesses the tumor grade through a biopsy. However, a biopsy usually leads to discomfort and post-biopsy complications. In this work, we propose a noninvasi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a4912aaf5b5b251ec762eb71486eb68
https://doi.org/10.1007/978-981-13-9042-5_45
https://doi.org/10.1007/978-981-13-9042-5_45
Publikováno v:
RAIT
Skull striping is a crucial pre-processing step incorporated in several brain image processing applications. It deals with the removal of non-brain tissues from the brain Magnetic Resonance Imaging (MRI). The skull striping of brain MRI is not a triv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f15739b9ce43c3db60c5793133c25bb
https://doi.org/10.1109/rait.2018.8389028
https://doi.org/10.1109/rait.2018.8389028
Autor:
Rajarshi Pal, Prasun Chandra Tripathi
Publikováno v:
ICACCI
The problem of image retargeting is to fit a large image on a small display. Simple down-scaling resizes all contents in the image at a uniform factor. It may shrink the important contents too much so that viewers may face difficulty in recognizing t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8b8d6d013ea54583125eb006bf3d091
https://doi.org/10.1109/icacci.2016.7732046
https://doi.org/10.1109/icacci.2016.7732046
Autor:
Prasun Chandra Tripathi, Rajarshi Pal
Displaying a large image in a small screen of a handheld gadget is a challenging task. Simple down-scaling of the image may reduce some objects too small to be perceptible. This gives rise to content-aware retargeting of the image. Important contents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99dd8c251f44abdfe541c4abe960e66f
https://doi.org/10.4018/978-1-4666-8723-3.ch005
https://doi.org/10.4018/978-1-4666-8723-3.ch005