Performance comparison of segmentation methods on the Lucchi++ dataset.

Performance comparison of segmentation methods on the Lucchi++ dataset.

<p>Performance comparison of segmentation methods on the Lucchi++ dataset.</p>

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Bibliographic Details
Main Author: Yubraj Gupta (7465394) (author)
Other Authors: Rainer Heintzmann (112278) (author), Carlos Costa (410100) (author), Rui Jesus (20329654) (author), Eduardo Pinho (14312032) (author)
Published: 2024
Subjects:
Biochemistry
Cell Biology
Cancer
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
weighted fusion technique
slowing disease progression
proposed fusion method
produce adenosine triphosphate
mean jaccard index
mean error rate
including neurodegenerative disorders
data acquisition techniques
containing numerous cells
3d cnn algorithms
sem images using
primary mitochondrial diseases
xlink "> mitochondria
efficiently segment mitochondria
minimal user intervention
overall segmentation results
minimal intervention
segmentation task
pipelines using
mitochondrial dna
urocell dataset
urgent need
recent advances
predicted outputs
predict regions
potentially aid
pixel accuracy
nutrition molecules
methodology minimizes
intracellular organelles
interest specific
individual predictions
high score
four datasets
early detection
dice coefficient
deep learning
cellular fuel
become feasible
automated tools
article proposes
architecture combines
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