Skin cancer malignancy classification and segmentation using machine learning algorithms
Malignant melanoma is the deadliest form of skin cancer. Once it metastasizes from its origin
into other tissues, there is no surgical removal option as a treatment. The only way to …
into other tissues, there is no surgical removal option as a treatment. The only way to …
A hybrid stacked restricted boltzmann machine with sobel directional patterns for melanoma prediction in colored skin images
Melanoma, a kind of skin cancer that is very risky, is distinguished by uncontrolled cell
multiplication. Melanoma detection is of the utmost significance in clinical practice because …
multiplication. Melanoma detection is of the utmost significance in clinical practice because …
Exploring the strengths of pre-trained CNN models with machine learning techniques for skin cancer diagnosis
Most people exposed to UV radiation get skin cancer, which is the most common health risk.
The condition is identified when the epidermal tissues develop in an abnormal way and take …
The condition is identified when the epidermal tissues develop in an abnormal way and take …
Weakly supervised skin lesion segmentation based on spot‐seeds guided optimal regions
Automatic skin lesion segmentation is the most critical and relevant task in computer‐aided
skin cancer diagnosis. Methods based on convolutional neural networks (CNNs) are mainly …
skin cancer diagnosis. Methods based on convolutional neural networks (CNNs) are mainly …
Exploring multiple deep learning models for skin cancer classification
The most frequent health concern is skin cancer, which is caused by exposure to UV light.
Identification of the disorder is made when the epidermal tissues develop abnormally and …
Identification of the disorder is made when the epidermal tissues develop abnormally and …
Towards Robust Colour Texture Analysis with Limited Training Data
Texture analysis plays an important role in different domains of healthcare, agriculture, and
industry, where multi-channel sensors are gaining more attention. This contribution presents …
industry, where multi-channel sensors are gaining more attention. This contribution presents …
A review of various techniques used for classification of dermatoscopic images using machine learning or deep learning classifiers
V Srivastava, V Pandey - 2023 Second International …, 2023 - ieeexplore.ieee.org
Skin cancer is one of the most widespread and lethal type of cancer. It is getting more
prevalent in today's world due to increase in exposure to harmful radiations and chemicals …
prevalent in today's world due to increase in exposure to harmful radiations and chemicals …
[PDF][PDF] A Hybrid Stacked Restricted Boltzmann Machine with Sobel Directional Patterns for Melanoma Prediction in Colored Skin Images. Diagnostics 2023, 13, 1104
Melanoma, a kind of skin cancer that is very risky, is distinguished by uncontrolled cell
multiplication. Melanoma detection is of the utmost significance in clinical practice because …
multiplication. Melanoma detection is of the utmost significance in clinical practice because …