Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review
TG Debelee - Diagnostics, 2023 - mdpi.com
Skin lesions are essential for the early detection and management of a number of
dermatological disorders. Learning-based methods for skin lesion analysis have drawn …
dermatological disorders. Learning-based methods for skin lesion analysis have drawn …
Deep Learning-based Dermatological Condition Detection: A Systematic Review with Recent Methods, Datasets, Challenges and Future Directions
Dermatological conditions are a global health concern affecting all age groups. They
encompass various skin issues such as rashes, moles, acne, blisters, hives, nodules, cysts …
encompass various skin issues such as rashes, moles, acne, blisters, hives, nodules, cysts …
Diagnosing melanomas in Dermoscopy images using deep learning
When it comes to skin tumors and cancers, melanoma ranks among the most prevalent and
deadly. With the advancement of deep learning and computer vision, it is now possible to …
deadly. With the advancement of deep learning and computer vision, it is now possible to …
DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images
Skin cancer is a common cancer affecting millions of people annually. Skin cells inside the
body that grow in unusual patterns are a sign of this invasive disease. The cells then spread …
body that grow in unusual patterns are a sign of this invasive disease. The cells then spread …
A novel skin cancer detection model using modified finch deep CNN classifier model
A Kumar, M Kumar, VP Bhardwaj, S Kumar… - Scientific Reports, 2024 - nature.com
Skin cancer is one of the most life-threatening diseases caused by the abnormal growth of
the skin cells, when exposed to ultraviolet radiation. Early detection seems to be more …
the skin cells, when exposed to ultraviolet radiation. Early detection seems to be more …
An Improved Skin Lesion Classification Using a Hybrid Approach with Active Contour Snake Model and Lightweight Attention-Guided Capsule Networks
Skin cancer is a prevalent type of malignancy on a global scale, and the early and accurate
diagnosis of this condition is of utmost importance for the survival of patients. The clinical …
diagnosis of this condition is of utmost importance for the survival of patients. The clinical …
An effective fuzzy based segmentation and twin attention based convolutional gated recurrent network for skin cancer detection
Skin cancer is one of the most deadly types of cancer that makes people less aware of the
signs and symptoms. The skin cells are destroyed in people affected by skin cancer, a …
signs and symptoms. The skin cells are destroyed in people affected by skin cancer, a …
A Systematic Analysis of Skin Cancer Detection Using Machine Learning and Deep Learning Techniques
The skin serves as the primary line for protection against oxidative damage by UV rays on
the outside of the body. Skin cancer is now the most often reported malignancy in the world …
the outside of the body. Skin cancer is now the most often reported malignancy in the world …
Skin Cancer Detection Approach Using Convolutional Neural Network Artificial Intelligence
SN Hayat, R Indraswari - … Journal of Informatics and Information Systems, 2024 - ijiis.org
Skin cancer is a type of cancer that can cause death, where skin cancer is included in the 15
common cancers that occur in Indonesia. The number of skin cancer sufferers was around …
common cancers that occur in Indonesia. The number of skin cancer sufferers was around …
Machine Learning and Cloud-based Mobile App for Real Time Skin Cancer Prediction
RK Kaushal, GR Hemalakshmi… - … Conference on I …, 2023 - ieeexplore.ieee.org
The most prevalent kind of cancer is skin cancer. If discovered quickly, this can be effectively
treated. It is extremely expensive to diagnose the cancer in its initial stages. Skin cancer is …
treated. It is extremely expensive to diagnose the cancer in its initial stages. Skin cancer is …