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Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review
Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in develo** computer-aided diagnosis …
researchers have shown an increasing interest in develo** computer-aided diagnosis …
A precise model for skin cancer diagnosis using hybrid U-Net and improved MobileNet-V3 with hyperparameters optimization
Skin cancer is a frequently occurring and possibly deadly disease that necessitates prompt
and precise diagnosis in order to ensure efficacious treatment. This paper introduces an …
and precise diagnosis in order to ensure efficacious treatment. This paper introduces an …
Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes
This paper presents the most current and innovative solutions applying modern digital
image processing methods for the purpose of skin cancer diagnostics. Skin cancer is one of …
image processing methods for the purpose of skin cancer diagnostics. Skin cancer is one of …
An internet of health things‐driven deep learning framework for detection and classification of skin cancer using transfer learning
Abstract As specified by World Health Organization, the occurrence of skin cancer has been
growing over the past decades. At present, 2 to 3 million nonmelanoma skin cancers and …
growing over the past decades. At present, 2 to 3 million nonmelanoma skin cancers and …
Computer-aided diagnosis of skin cancer based on soft computing techniques
Z Xu, FR Sheykhahmad, N Ghadimi, N Razmjooy - Open Medicine, 2020 - degruyter.com
Skin cancer is a type of disease in which malignant cells are formed in skin tissues.
However, skin cancer is a dangerous disease, and an early detection of this disease helps …
However, skin cancer is a dangerous disease, and an early detection of this disease helps …
A survey on evolutionary computation for computer vision and image analysis: Past, present, and future trends
Computer vision (CV) is a big and important field in artificial intelligence covering a wide
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …
An improved VGG model for skin cancer detection
Skin cancer is one of the most prevalent malignancies in humans and is generally
diagnosed through visual means. Since it is essential to detect this type of cancer in its early …
diagnosed through visual means. Since it is essential to detect this type of cancer in its early …
[HTML][HTML] Improving K-means clustering with enhanced Firefly Algorithms
In this research, we propose two variants of the Firefly Algorithm (FA), namely inward
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …
A de-ann inspired skin cancer detection approach using fuzzy c-means clustering
As per recent developments in medical science, the skin cancer is considered as one of the
common type disease in human body. Although the presence of melanoma is viewed as a …
common type disease in human body. Although the presence of melanoma is viewed as a …
A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision
Malignancy is the tendency of a medical condition to progressively become fatal and
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
generally refers to the presence of cancerous cells that can spread, invade, and destroy …