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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 …
An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach
Melanoma is the deadliest type of skin cancer with highest mortality rate. However, the
annihilation in early stage implies a high survival rate therefore, it demands early diagnosis …
annihilation in early stage implies a high survival rate therefore, it demands early diagnosis …
Intelligent skin cancer detection using enhanced particle swarm optimization
In this research, we undertake intelligent skin cancer diagnosis based on dermoscopic
images using a variant of the Particle Swarm Optimization (PSO) algorithm for feature …
images using a variant of the Particle Swarm Optimization (PSO) algorithm for feature …
Combining deep learning and hand-crafted features for skin lesion classification
Melanoma is one of the most lethal forms of skin cancer. It occurs on the skin surface and
develops from cells known as melanocytes. The same cells are also responsible for benign …
develops from cells known as melanocytes. The same cells are also responsible for benign …
[PDF][PDF] Skin lesion classification using machine learning algorithms
Melanoma is a deadly skin cancer that breaks out in the skin's pigment cells on the skin
surface. Melanoma causes 75% of the skin cancer-related deaths. This disease can be …
surface. Melanoma causes 75% of the skin cancer-related deaths. This disease can be …
An efficient machine learning approach for the detection of melanoma using dermoscopic images
Z Waheed, A Waheed, M Zafar… - … , computing and digital …, 2017 - ieeexplore.ieee.org
Diagnosis of dermoscopic skin lesions due to skin cancer is the most challenging task for the
experienced dermatologists. In this context, dermoscopy is the non-invasive useful method …
experienced dermatologists. In this context, dermoscopy is the non-invasive useful method …
Deep learning approaches towards skin lesion segmentation and classification from dermoscopic images-a review
Background: Automated intelligent systems for unbiased diagnosis are primary requirement
for the pigment lesion analysis. It has gained the attention of researchers in the last few …
for the pigment lesion analysis. It has gained the attention of researchers in the last few …
Bagged textural and color features for melanoma skin cancer detection in dermoscopic and standard images
Early detection of malignant melanoma skin cancer is crucial for treating the disease and
saving lives. Many computerized techniques have been reported in the literature to …
saving lives. Many computerized techniques have been reported in the literature to …
Characterizing the role of dermatologists in develo** artificial intelligence for assessment of skin cancer
GA Zakhem, JW Fakhoury, CC Motosko… - Journal of the American …, 2021 - Elsevier
Background The use of artificial intelligence (AI) for skin cancer assessment has been an
emerging topic in dermatology. Leadership of dermatologists is necessary in defining how …
emerging topic in dermatology. Leadership of dermatologists is necessary in defining how …