Machine learning approaches for skin cancer classification from dermoscopic images: a systematic review
F Grignaffini, F Barbuto, L Piazzo, M Troiano… - Algorithms, 2022 - mdpi.com
Skin cancer (SC) is one of the most prevalent cancers worldwide. Clinical evaluation of skin
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
[HTML][HTML] Artificial intelligence-assisted dermatology diagnosis: from unimodal to multimodal
N Luo, X Zhong, L Su, Z Cheng, W Ma, P Hao - Computers in Biology and …, 2023 - Elsevier
Artificial Intelligence (AI) is progressively permeating medicine, notably in the realm of
assisted diagnosis. However, the traditional unimodal AI models, reliant on large volumes of …
assisted diagnosis. However, the traditional unimodal AI models, reliant on large volumes of …
Ssd-kd: A self-supervised diverse knowledge distillation method for lightweight skin lesion classification using dermoscopic images
Skin cancer is one of the most common types of malignancy, affecting a large population
and causing a heavy economic burden worldwide. Over the last few years, computer-aided …
and causing a heavy economic burden worldwide. Over the last few years, computer-aided …
A novel soft attention-based multi-modal deep learning framework for multi-label skin lesion classification
AN Omeroglu, HMA Mohammed, EA Oral… - … Applications of Artificial …, 2023 - Elsevier
Skin cancer is one of the fatal cancers worldwide. Early detection of this disease can
significantly increase the survival rate. In this study, a multi-modal and soft attention based …
significantly increase the survival rate. In this study, a multi-modal and soft attention based …
DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-images
Highly focused images of skin captured with ordinary cameras, called macro-images, are
extensively used in dermatology. Being highly focused views, the macro-images contain …
extensively used in dermatology. Being highly focused views, the macro-images contain …
Malignant melanoma diagnosis applying a machine learning method based on the combination of nonlinear and texture features
Skin cancer affects people of all skin tones, including those with darker complexions.
Melanomas are known as malignant tumors of skin cancer, resulting in an adverse …
Melanomas are known as malignant tumors of skin cancer, resulting in an adverse …
Handling imbalanced class in melanoma: Kemeny–Young rule based optimal rank aggregation and Self-Adaptive Differential Evolution Optimization
G Srivastava, N Pradhan - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Melanoma, despite its relatively low incidence compared to other types of skin cancer,
accounts for a significant proportion of skin cancer-related deaths. Early detection of …
accounts for a significant proportion of skin cancer-related deaths. Early detection of …
Recent advances in diagnosis of skin lesions using dermoscopic images based on deep learning
Skin cancer is one of the most threatening cancers, which spreads to the other parts of the
body if not caught and treated early. During the last few years, the integration of deep …
body if not caught and treated early. During the last few years, the integration of deep …
Sex, myelin, and clinical characteristics of Parkinson's disease
Objective To determine if there are sex differences in myelin in Parkinson's disease, and
whether these explain some of the previously-described sex differences in clinical …
whether these explain some of the previously-described sex differences in clinical …
SNC_Net: Skin Cancer Detection by Integrating Handcrafted and Deep Learning-Based Features Using Dermoscopy Images
The medical sciences are facing a major problem with the auto-detection of disease due to
the fast growth in population density. Intelligent systems assist medical professionals in early …
the fast growth in population density. Intelligent systems assist medical professionals in early …