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Saran Raj, Sowrirajan
5  Ergebnisse:
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1

Brain Tumor Segmentation Using Gaussian-Based U-Net Archite..:

, In: Data Science and Applications; Lecture Notes in Networks and Systems,
Saran Raj, Sowrirajan ; Logeshwaran, K. S. ; Anisha Devi, K.. - p. 269-280 , 2024
Link: https://doi.org/10.1007/..
 
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2

Improved Brain Tumor Segmentation Using UNet-LSTM Architect..:

Sowrirajan, Saran Raj ; Karumanan Srinivasan, Logeshwaran ; Kalluri, Anisha Devi.
SN Computer Science.  5 (2024)  5 - p. , 2024
Link: https://doi.org/10.1007/..
 
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3

MRI Brain Tumor Classification Using a Hybrid VGG16-NADE Mo..:

Sowrirajan, Saran Raj ; Balasubramanian, Surendiran ; Raj, Raja Soosaimarian Peter
Brazilian Archives of Biology and Technology.  66 (2023)  - p. , 2023
Link: https://doi.org/10.1590/..
 
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4

Brain Tumor Classification Using Machine Learning and Deep ..:

Sowrirajan, Saran Raj ; Balasubramanian, Surendiran
International Journal of Electrical and Electronics Research.  10 (2022)  4 - p. 999-1004 , 2022
Link: https://doi.org/10.37391..
 
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5

MRI Brain Tumor Classification Using a Hybrid VGG16-NADE Mo..:

Saran Raj Sowrirajan ; Surendiran Balasubramanian ; Raja Soosaimarian Peter Raj
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132023000100608&tlng=en.  , 2022
Link: https://doi.org/10.1590/..
 
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