377 research outputs found
Impact of adversarial examples on deep learning models for biomedical image segmentation
Deep learning models, which are increasingly being used in the field of medical image analysis, come with a major security risk, namely, their vulnerability to adversarial examples. Adversarial examples are carefully crafted samples that force machine learning models to make mistakes during testing time. These malicious samples have been shown to be highly effective in misguiding classification tasks. However, research on the influence of adversarial examples on segmentation is significantly lacking. Given that a large portion of medical imaging problems are effectively segmentation problems, we analyze the impact of adversarial examples on deep learning-based image segmentation models. Specifically, we expose the vulnerability of these models to adversarial examples by proposing the Adaptive Segmentation Mask Attack (ASMA). This novel algorithm makes it possible to craft targeted adversarial examples that come with (1) high intersection-over-union rates between the target adversarial mask and the prediction and (2) with perturbation that is, for the most part, invisible to the bare eye. We lay out experimental and visual evidence by showing results obtained for the ISIC skin lesion segmentation challenge and the problem of glaucoma optic disc segmentation. An implementation of this algorithm and additional examples can be found at https://github.com/utkuozbulak/adaptive-segmentation-mask-attack
Discrete harmonic analysis associated with ultraspherical expansions
We study discrete harmonic analysis associated with ultraspherical orthogonal
functions. We establish weighted l^p-boundedness properties of maximal
operators and Littlewood-Paley g-functions defined by Poisson and heat
semigroups generated by certain difference operator. We also prove weighted
l^p-boundedness properties of transplantation operators associated to the
system of ultraspherical functions. In order to show our results we previously
establish a vector-valued local Calder\'on-Zygmund theorem in our discrete
setting
Conical square functions associated with Bessel, Laguerre and Schr\"odinger operators in UMD Banach spaces
In this paper we consider conical square functions in the Bessel, Laguerre
and Schr\"odinger settings where the functions take values in UMD Banach
spaces. Following a recent paper of Hyt\"onen, van Neerven and Portal, in order
to define our conical square functions, we use -radonifying operators.
We obtain new equivalent norms in the Lebesgue-Bochner spaces and , , in terms of
our square functions, provided that is a UMD Banach space. Our
results can be seen as Banach valued versions of known scalar results for
square functions
UMD Banach spaces and square functions associated with heat semigroups for Schr\"odinger and Laguerre operators
In this paper we define square functions (also called Littlewood-Paley-Stein
functions) associated with heat semigroups for Schr\"odinger and Laguerre
operators acting on functions which take values in UMD Banach spaces. We extend
classical (scalar) L^p-boundedness properties for the square functions to our
Banach valued setting by using \gamma-radonifying operators. We also prove that
these L^p-boundedness properties of the square functions actually characterize
the Banach spaces having the UMD property
Solutions of Weinstein equations representable by Bessel Poisson integrals of BMO functions
We consider the Weinstein type equation on
, where , with . In
this paper we characterize the solutions of on
representable by Bessel-Poisson integrals of
BMO-functions as those ones satisfying certain Carleson properties
Riesz transforms, Cauchy-Riemann systems and amalgam Hardy spaces
In this paper we study Hardy spaces ,
, modeled over amalgam spaces . We
characterize by using first order classical
Riesz transforms and compositions of first order Riesz transforms depending on
the values of the exponents and . Also, we describe the distributions in
as the boundary values of solutions of
harmonic and caloric Cauchy-Riemann systems. We remark that caloric
Cauchy-Riemann systems involve fractional derivative in the time variable.
Finally we characterize the functions in by means of Fourier multipliers
with symbol , where and denotes the unit sphere in
.Comment: 24 page
BMO functions and Balayage of Carleson measures in the Bessel setting
By we denote the space consisting of all those odd and bounded
mean oscillation functions on R. In this paper we characterize the functions in
with bounded support as those ones that can be written as a sum of a
bounded function on plus the balayage of a Carleson measure on
with respect to the Poisson semigroup
associated with the Bessel operator , . This result can be seen as an extension to
Bessel setting of a classical result due to Carleson
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