Flow chart of the proposed algorithm.

<div><p>Brain tumor segmentation from MRI’s and PET has always been a challenging and time-consuming phase for radiologists, due to low sensitivity boundary region pixels in this image modality. Deep learning-based image segmentation is the hot research topic in recent days. Among all ot...

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Bibliographic Details
Main Author:	Yepuganti Karuna (19935105) (author)
Other Authors:	Venu Allapakam (19935102) (author), S. Priyanka (22140774) (author), SK. Riyaz Hussian (22784075) (author), Peet Nalwaya (22784078) (author), Saladi Saritha (22784081) (author)
Published:	2025
Subjects:	Cell Biology Genetics Cancer Space Science Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified hot research topic segments tumour regions brain tumour segmentation segment medical images mri &# 8217 designed model performance based image segmentation deep learning models deep learning tumour area based variants image modality fused image used models union score two stages recent days proposed work pet images permutate version improved interpretation fused mri different modalities consuming phase comparatively higher automatically detects
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Flow chart of the proposed algorithm.

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