Big Data and Cognitive Computing,
Journal Year:
2022,
Volume and Issue:
6(4), P. 117 - 117
Published: Oct. 17, 2022
Deep
learning
techniques
have
rapidly
become
important
as
a
preferred
method
for
evaluating
medical
image
segmentation.
This
survey
analyses
different
contributions
in
the
deep
field,
including
major
common
issues
published
recent
years,
and
also
discusses
fundamentals
of
concepts
applicable
to
The
study
can
be
applied
categorization,
object
recognition,
segmentation,
registration,
other
tasks.
First,
basic
ideas
techniques,
applications,
frameworks
are
introduced.
that
operate
ideal
applications
briefly
explained.
paper
indicates
there
is
previous
experience
with
class
has
been
designed
describe
respond
various
challenges
field
analysis
such
low
accuracy
classification,
segmentation
resolution,
poor
enhancement.
Aiming
solve
these
present
improve
evolution
challenges,
we
provide
suggestions
future
research.
International Journal of Advanced Computer Science and Applications,
Journal Year:
2024,
Volume and Issue:
15(5)
Published: Jan. 1, 2024
In
the
past
decade,
Electronic
Health
Records
(EHRs)
based
on
clouds
have
become
popular
in
empowering
remote
patient
monitoring.
The
rise
of
4.0,
which
includes
using
system
elements
and
cloud
services
to
access
health
records
remotely,
has
gained
highest
attention
experts.
Healthcare
4.0
requires
consistent
collection,
combination,
transmission,
exchange,
storage
medical
information
related
patients.
Because
is
a
private
data,
it
might
be
challenging
keep
hackers
out
reach.
As
result,
secure
storage,
access,
exchange
critical
ensuring
that
not
exposed
any
unauthorized
manner.
Security
mechanisms
employ
Blockchain
technology
recent
years
since
they
can
provide
robust
data
sharing
amongst
large
number
users
protection
with
low
computing
costs.
Researchers
now
shifted
their
focus
protect
healthcare
administration.
This
work
presents
an
architecture
investigate
scalability
systems
use
Blockchain.
investigations
are
carried
under
different
test
scenarios
evaluated
numerous
circumstances,
including
varying
user
volumes,
while
also
considering
presence
cyber
threats.
results
demonstrate
interesting
findings
efficiency
effectiveness
deploying
EHRs.
Big Data and Cognitive Computing,
Journal Year:
2022,
Volume and Issue:
6(4), P. 117 - 117
Published: Oct. 17, 2022
Deep
learning
techniques
have
rapidly
become
important
as
a
preferred
method
for
evaluating
medical
image
segmentation.
This
survey
analyses
different
contributions
in
the
deep
field,
including
major
common
issues
published
recent
years,
and
also
discusses
fundamentals
of
concepts
applicable
to
The
study
can
be
applied
categorization,
object
recognition,
segmentation,
registration,
other
tasks.
First,
basic
ideas
techniques,
applications,
frameworks
are
introduced.
that
operate
ideal
applications
briefly
explained.
paper
indicates
there
is
previous
experience
with
class
has
been
designed
describe
respond
various
challenges
field
analysis
such
low
accuracy
classification,
segmentation
resolution,
poor
enhancement.
Aiming
solve
these
present
improve
evolution
challenges,
we
provide
suggestions
future
research.
