Additive manufacturing for biomedical bone implants: Shaping the future of bones
Materials Science and Engineering R Reports,
Год журнала:
2025,
Номер
163, С. 100931 - 100931
Опубликована: Янв. 30, 2025
Язык: Английский
Brain tumor detection across diverse MR images: An automated triple-module approach integrating reduced fused deep features and machine learning
Results in Engineering,
Год журнала:
2024,
Номер
unknown, С. 103832 - 103832
Опубликована: Дек. 1, 2024
Язык: Английский
DK-metric transformer: Domain knowledge driven metric learning-based transformer framework for unseen skin lesion recognition under few samples
Measurement,
Год журнала:
2025,
Номер
246, С. 116646 - 116646
Опубликована: Янв. 6, 2025
Язык: Английский
Comprehensive Analysis of Artificial Intelligence Applications for Early Detection of Ovarian Tumours: Current Trends and Future Directions
Опубликована: Фев. 21, 2025
Язык: Английский
LungSE-Net: Enhanced Lung Cancer Diagnosis via Lightweight CNN Model using Histopathological Images
Procedia Computer Science,
Год журнала:
2025,
Номер
260, С. 118 - 125
Опубликована: Янв. 1, 2025
Язык: Английский
Emerging role of liquid biopsies and advanced imaging in early detection and monitoring of oral oncology
S. Manikandan,
Sundaram Vickram
Oral Oncology Reports,
Год журнала:
2024,
Номер
10, С. 100377 - 100377
Опубликована: Апрель 17, 2024
•
Non-invasive
detection,
liquid
biopsies,
non-invasive
tools
have
been
developed
to
aid
in
the
early
detection
and
monitoring
of
oral
cancer
by
measuring
circulating
tumour
DNA
(ctDNA)
other
biomarkers.
The
Precise
characterization,
advanced
imaging
techniques,
such
as
optical
coherence
tomography
PET/CT,
provide
detailed
anatomical
functional
information,
enhancing
lesion
characterization
treatment
planning.
Personalized
management,
integration
are
critical
developing
personalized
therapeutic
strategies.
Язык: Английский
Skeletal Muscle Segmentation at the Level of the Third Lumbar Vertebra (L3) in Low-Dose Computed Tomography: A Lightweight Algorithm
Tomography,
Год журнала:
2024,
Номер
10(9), С. 1513 - 1526
Опубликована: Сен. 13, 2024
The
cross-sectional
area
of
skeletal
muscles
at
the
level
third
lumbar
vertebra
(L3)
measured
from
computed
tomography
(CT)
images
is
an
established
imaging
biomarker
used
to
assess
patients'
nutritional
status.
With
increasing
prevalence
low-dose
CT
scans
in
clinical
practice,
accurate
and
automated
muscle
segmentation
L3
has
become
issue
address.
This
study
proposed
a
lightweight
algorithm
for
images.
Язык: Английский