[PDF][PDF] Performance analysis of hybrid bio-inspired algorithms for classifying brain tumors in imbalanced magnetic resonance imaging datasets.
Magnetic resonance imaging (MRI) is a substantial imaging procedure for diagnosing brain
tumors. However, brain tumor classification continues challenging due to the unequal …
tumors. However, brain tumor classification continues challenging due to the unequal …
A Time Variant Region Growth Analysis Model for Efficient Brain Tumor Classification Using CNN
F Rahman, O Dewangan - Nanotechnology Perceptions, 2024 - nano-ntp.com
The issue of classifying brain tumor from MRI images is analyzed in detail. Number of
schemes exists and uses texture, shape and mass features in classifying brain tumor …
schemes exists and uses texture, shape and mass features in classifying brain tumor …
A Hybrid Approach for the Automated Classification and Grading of a Brain Tumor
S Suryawanshi, S Patil, RB Dhumale - NeuroQuantology, 2022 - search.proquest.com
This work highlights approach of image segmentationfor automatic brain tumor diagnosis.
Image segmentation can be reflected as of the utmost importanceas well asa serious …
Image segmentation can be reflected as of the utmost importanceas well asa serious …
Optimal Site Selection and Capacity Determination of Distributed Photovoltaic Sources Connected to Distribution Network Based on Squirrel Search Algorithm
H Aoyang, Z Zhun, L Tongtong, W Zhen… - 2024 IEEE 2nd …, 2024 - ieeexplore.ieee.org
The research on site selection and capacity determination of distributed photovoltaic
sources is a key link in the planning of distribution networks containing distributed …
sources is a key link in the planning of distribution networks containing distributed …