Performance evaluation of E-VGG19 model: Enhancing real-time skin cancer detection and classification
Irfan Ali Kandhro,
No information about this author
Selvakumar Manickam,
No information about this author
Kanwal Fatima
No information about this author
et al.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(10), P. e31488 - e31488
Published: May 1, 2024
Skin
cancer
is
a
pervasive
and
potentially
life-threatening
disease.
Early
detection
plays
crucial
role
in
improving
patient
outcomes.
Machine
learning
(ML)
techniques,
particularly
when
combined
with
pre-trained
deep
models,
have
shown
promise
enhancing
the
accuracy
of
skin
detection.
In
this
paper,
we
enhanced
VGG19
model
max
pooling
dense
layer
for
prediction
cancer.
Moreover,
also
explored
models
such
as
Visual
Geometry
Group
19
(VGG19),
Residual
Network
152
version
2
(ResNet152v2),
Inception-Residual
(InceptionResNetV2),
Dense
Convolutional
201
(DenseNet201),
50
(ResNet50),
Inception
3
(InceptionV3),
For
training,
lesions
dataset
used
malignant
benign
cases.
The
extract
features
divide
into
two
categories:
benign.
are
then
fed
machine
methods,
including
Linear
Support
Vector
(SVM),
k-Nearest
Neighbors
(KNN),
Decision
Tree
(DT),
Logistic
Regression
(LR)
our
results
demonstrate
that
combining
E-VGG19
traditional
classifiers
significantly
improves
overall
classification
classification.
compared
performance
baseline
metrics
(recall,
F1
score,
precision,
sensitivity,
accuracy).
experiment
provide
valuable
insights
effectiveness
various
accurate
efficient
This
research
contributes
to
ongoing
efforts
create
automated
technologies
detecting
can
help
healthcare
professionals
individuals
identify
potential
cases
at
an
early
stage,
ultimately
leading
more
timely
effective
treatments.
Language: Английский
Efficacy and Safety of Rechallenge with BRAF/MEK Inhibitors in Advanced Melanoma Patients: A Systematic Review and Meta-Analysis
Cancers,
Journal Year:
2023,
Volume and Issue:
15(15), P. 3754 - 3754
Published: July 25, 2023
This
systematic
review
and
meta-analysis
aims
to
evaluate
the
efficacy
safety
of
rechallenging
advanced
melanoma
patients
with
BRAFi/MEKi.
Seven
studies,
accounting
for
400
patients,
were
included.
Most
received
immunotherapy
before
rechallenge,
79%
underwent
rechallenge
combination
We
found
a
median
progression-free
survival
5
months
overall
9.8
months.
The
one-year
rate
was
42.63%.
Regarding
response,
ORR
34%
DCR
65%.
There
no
new
or
unexpected
concerns.
Rechallenge
BRAFi/MEKi
can
improve
outcomes
in
refractory
disease.
These
findings
have
significant
implications
clinical
practice,
particularly
setting
progressive
disease
later
lines
limited
treatment
options.
Language: Английский
Acral lentiginous melanoma incidence by sex, race, ethnicity, and stage in the United States, 2010–2019
Preventive Medicine,
Journal Year:
2023,
Volume and Issue:
175, P. 107692 - 107692
Published: Sept. 1, 2023
Language: Английский
Sexual Orientation and Lifetime Prevalence of Skin Cancer Across Racial and Ethnic Groups
Katelyn J. Rypka,
No information about this author
Zachary Wendland,
No information about this author
Maritza V. Steele
No information about this author
et al.
JAMA Dermatology,
Journal Year:
2024,
Volume and Issue:
160(9), P. 977 - 977
Published: July 17, 2024
Importance
Sexual
minority
(SM)
persons
have
been
found
to
differential
rates
of
skin
cancer,
but
limited
data
exist
on
differences
across
racial
and
ethnic
groups
by
individual
sexual
identities.
Objective
To
examine
orientation
in
the
lifetime
prevalence
cancer
among
US
adult
females
males
identity.
Design,
Setting,
Participants
This
cross-sectional
study
used
from
Behavioral
Risk
Factor
Surveillance
System
January
1,
2014,
December
31,
2021,
for
adults
general
population.
Data
were
analyzed
2023,
March
2024.
Main
Outcomes
Measures
Self-reported
orientation.
Age-adjusted
adjusted
odds
ratios
(AORs)
compared
heterosexual
SM
analyses
stratified
race.
Results
Of
1
512
400
participants
studied,
805
161
(53.2%)
females;
38
933
(2.6%),
638
651
(42.2%),
males;
29
655
(2.0%),
males.
A
total
6.6%
Hispanic;
3.4%,
non-Hispanic
Asian,
Pacific
Islander,
or
Hawaiian;
7.5%,
Black;
78.2%,
White;
4.3%,
other
race
ethnicity.
Mean
(SE)
age
was
48.5
(0.03)
years
(incomplete
respondents
≥80
years).
The
overall
higher
with
(7.4%
vs
6.8%;
AOR,
1.16;
95%
CI,
1.02-1.33),
including
specifically
Hispanic
(4.0%
1.6%;
3.81;
1.96-7.41)
Black
(1.0%
0.5%;
2.18;
1.13-4.19)
Lifetime
lower
White
(7.8%
8.5%;
0.86;
0.76-0.97)
(2.1%
1.8%;
2.46;
1.28-4.70)
(1.8%
2.33;
1.01-5.54)
Conclusions
Relevance
In
this
adults,
differed
identity
both
Both
had
their
counterparts.
Further
research
addressing
factors
contributing
these
is
needed
inform
screening
guidelines
public
health
interventions
focused
diverse,
heterogeneous
populations.
Language: Английский