Machine learning in dermatology: current applications, opportunities, and limitations
S Chan, V Reddy, B Myers, Q Thibodeaux… - Dermatology and …, 2020 - Springer
Abstract Machine learning (ML) has the potential to improve the dermatologist's practice
from diagnosis to personalized treatment. Recent advancements in access to large datasets …
from diagnosis to personalized treatment. Recent advancements in access to large datasets …
Artificial intelligence in dermatology—where we are and the way to the future: a review
Although artificial intelligence has been available for some time, it has garnered significant
interest recently and has been popularized by major companies with its applications in …
interest recently and has been popularized by major companies with its applications in …
What else does your biometric data reveal? A survey on soft biometrics
Recent research has explored the possibility of extracting ancillary information from primary
biometric traits viz., face, fingerprints, hand geometry, and iris. This ancillary information …
biometric traits viz., face, fingerprints, hand geometry, and iris. This ancillary information …
High-performance iron oxide nanoparticles for magnetic particle imaging–guided hyperthermia (hMPI)
LM Bauer, SF Situ, MA Griswold, ACS Samia - Nanoscale, 2016 - pubs.rsc.org
Magnetic particle imaging (MPI) is an emerging imaging modality that allows the direct and
quantitative map** of iron oxide nanoparticles. In MPI, the development of tailored iron …
quantitative map** of iron oxide nanoparticles. In MPI, the development of tailored iron …
Skin disease recognition method based on image color and texture features
L Wei, Q Gan, T Ji - Computational and mathematical methods …, 2018 - Wiley Online Library
Skin diseases have a serious impact on people's life and health. Current research proposes
an efficient approach to identify singular type of skin diseases. It is necessary to develop …
an efficient approach to identify singular type of skin diseases. It is necessary to develop …
Principles, applications, and future of artificial intelligence in dermatology
This paper provides an overview of artificial-intelligence (AI), as applied to dermatology. We
focus our discussion on methodology, AI applications for various skin diseases, limitations …
focus our discussion on methodology, AI applications for various skin diseases, limitations …
Artificial intelligence applications in dermatology: where do we stand?
Artificial intelligence (AI) has become a progressively prevalent Research Topic in medicine
and is increasingly being applied to dermatology. There is a need to understand this …
and is increasingly being applied to dermatology. There is a need to understand this …
Systematic review of machine learning for diagnosis and prognosis in dermatology
K Thomsen, L Iversen, TL Titlestad… - Journal of …, 2020 - Taylor & Francis
Background: Software systems using artificial intelligence for medical purposes have been
developed in recent years. The success of deep neural networks (DNN) in 2012 in the …
developed in recent years. The success of deep neural networks (DNN) in 2012 in the …
PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network
The segmentation of psoriasis skin lesions from RGB color images is a challenging task in
the computer vision, due to poor illumination conditions, the irregular shapes and sizes of …
the computer vision, due to poor illumination conditions, the irregular shapes and sizes of …
Multi-class skin disease classification using transfer learning model
The human body's major organ is the skin, and it protects human beings from the outside
environment. Detecting skin disease at an earlier stage is a big challenge because of the …
environment. Detecting skin disease at an earlier stage is a big challenge because of the …