Bidirectional feature fusion via cross-attention transformer for chrysanthemum classification
Pattern Analysis and Applications,
Journal Year:
2025,
Volume and Issue:
28(2)
Published: Feb. 11, 2025
Language: Английский
One-Year-Old Precocious Chinese Mitten Crab Identification Algorithm Based on Task Alignment
Hao Gu,
No information about this author
Dongmei Gan,
No information about this author
Ming Chen
No information about this author
et al.
Animals,
Journal Year:
2024,
Volume and Issue:
14(14), P. 2128 - 2128
Published: July 21, 2024
The
cultivation
of
the
Chinese
mitten
crab
(
Language: Английский
Deep Learning for Accurate Diagnosis of Benign Paroxysmal Positional Vertigo
Jiaoxuan Dong,
No information about this author
Ling Li,
No information about this author
Ivan Milanov
No information about this author
et al.
Advances in medical technologies and clinical practice book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 143 - 152
Published: June 7, 2024
Benign
paroxysmal
positional
vertigo
(BPPV)
is
characterized
by
paroxysms
of
and
nystagmus
triggered
head
position
changes.
The
diagnosis
BPPV
can
be
objectively
determined
through
the
objective
analysis
nystagmus,
making
it
a
promising
approach
towards
artificial
intelligence
(AI)
-assisted
diagnosis.
diagnostic
criteria
for
have
been
clearly
defined,
standardized
protocols
data
collection
established.
Video-oculography
utilizing
infrared
cameras
has
employed
quantification
nystagmus.
These
used
to
train
AI
algorithms.
Utilizing
deep
learning
models
allows
accurate
tracking
pupil
movement
trajectories,
facilitating
identification
types,
automated
possible.
This
chapter
summarizes
recent
advances
in
AI-assisted
discusses
limitations
challenges
clinical
practice.
Language: Английский
Application of Angelica Sinensis in Gynecological Diseases
Feng Pei,
No information about this author
Yunliang Zang,
No information about this author
Pronaya Bhattacharya
No information about this author
et al.
Advances in medical technologies and clinical practice book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 153 - 168
Published: June 7, 2024
Angelica
sinensis
is
an
herbal
medicine
commonly
used
for
gynecological
diseases
in
traditional
Chinese
medicine.
This
chapter
aims
to
systematically
review
the
prescriptions
ancient
classics
and
analyze
compatibility
of
with
other
medicines,
categorize
treatment,
understand
applicability
from
a
clinical
view.
The
recorded
Shennong
Bencao
Jing
Jingyue
Quanshu
that
are
related
were
summarized,
characteristics
analyzed.
According
classification
medicine,
such
as
breast
disease,
offspring,
meridians,
postpartum,
role
was
analyzed
based
on
properties,
tastes,
channel
distribution.
processing
methods
recent
development
biochemical
approaches
extracting
active
ingredients
also
briefly
reviewed.
provides
comprehensive
reference
practitioners,
researchers,
biomedical
engineers.
Language: Английский