Comparative study and analysis on skin cancer detection using machine learning and deep learning algorithms
Exposure to UV rays due to global warming can lead to sunburn and skin damage,
ultimately resulting in skin cancer. Early prediction of this type of cancer is crucial. A detailed …
ultimately resulting in skin cancer. Early prediction of this type of cancer is crucial. A detailed …
D2LFS2Net: Multi‐class skin lesion diagnosis using deep learning and variance‐controlled Marine Predator optimisation: An application for precision medicine
In computer vision applications like surveillance and remote sensing, to mention a few, deep
learning has had considerable success. Medical imaging still faces a number of difficulties …
learning has had considerable success. Medical imaging still faces a number of difficulties …
Anomaly Detection for Skin Lesion Images Using Convolutional Neural Network and Injection of Handcrafted Features: A Method That Bypasses the Preprocessing of …
F Grignaffini, M Troiano, F Barbuto, P Simeoni… - Algorithms, 2023 - mdpi.com
Skin cancer (SC) is one of the most common cancers in the world and is a leading cause of
death in humans. Melanoma (M) is the most aggressive form of skin cancer and has an …
death in humans. Melanoma (M) is the most aggressive form of skin cancer and has an …
Efficient Harris Hawk optimization (HHO)-based framework for accurate skin cancer prediction
WN Ismail, HA Alsalamah - Mathematics, 2023 - mdpi.com
The prediction of skin cancer poses a number of challenges due to the differences in visual
characteristics between melanoma, basal cell carcinomas, and squamous cell carcinomas …
characteristics between melanoma, basal cell carcinomas, and squamous cell carcinomas …
A Review of Recent Advances in Computer-Aided Detection Methods Using Hyperspectral Imaging Engineering to Detect Skin Cancer
HY Huang, YP Hsiao, R Karmakar, A Mukundan… - Cancers, 2023 - mdpi.com
Simple Summary Recent advancements in this field have shown continuous improvement,
with CAD algorithms enhancing diagnosis accuracy. The study systematically analyzes …
with CAD algorithms enhancing diagnosis accuracy. The study systematically analyzes …
SkinLesNet: Classification of Skin Lesions and Detection of Melanoma Cancer Using a Novel Multi-Layer Deep Convolutional Neural Network
M Azeem, K Kiani, T Mansouri, N Topping - Cancers, 2023 - mdpi.com
Simple Summary While melanoma accounts for 4% of skin cancer cases, it causes 75% of
skin-cancer-related deaths. The survival rate for melanoma is higher for early-identified …
skin-cancer-related deaths. The survival rate for melanoma is higher for early-identified …
A systematic literature survey on skin disease detection and classification using machine learning and deep learning
The world population is growing very fast and the lifestyle of human beings is changing with
time and place. So, there is a need for disease management which includes disease …
time and place. So, there is a need for disease management which includes disease …
Internet of Things-Assisted Smart Skin Cancer Detection Using Metaheuristics with Deep Learning Model
Simple Summary The Internet of Things (IoT) uses connected devices and sensors, like high-
resolution cameras and specific sensors in wearable devices, for the collection of skin …
resolution cameras and specific sensors in wearable devices, for the collection of skin …
Effective skin cancer prediction using hybrid Xception and XGBoost approach tuned by honey badger optimization
T Naveena, S Jerine - Multimedia Tools and Applications, 2024 - Springer
One of the several malignancies that can afflict humans and spread the fastest is skin
cancer. The most and most serious kind of skin cancer, melanoma typically starts out on the …
cancer. The most and most serious kind of skin cancer, melanoma typically starts out on the …
Artificial Intelligence for Sustainable Dermatology in Smart Green Cities: Exploring Deep Learning Models for Accurate Skin Lesion Recognition
YEI El-Bouzaidi, O Abdoun - Procedia Computer Science, 2024 - Elsevier
Smart and sustainable dermatology takes on a new dimension within Green Smart Cities
with the integration of artificial intelligence (AI) into dermatological diagnosis. This study …
with the integration of artificial intelligence (AI) into dermatological diagnosis. This study …