[HTML][HTML] A comprehensive study on skin cancer detection using artificial neural network (ANN) and convolutional neural network (CNN)
Skin cancer is a significant health risk that requires early detection for effective treatment.
This paper discusses two automated techniques, Artificial Neural Network (ANN) and …
This paper discusses two automated techniques, Artificial Neural Network (ANN) and …
Blockchain-based cryptocurrency regulation: An overview
Governments and industry leaders have already carried out programs to fully evaluate the
strengths of blockchain and how it needs to be incorporated into everyday practices. Several …
strengths of blockchain and how it needs to be incorporated into everyday practices. Several …
Skin lesion classification of dermoscopic images using machine learning and convolutional neural network
B Shetty, R Fernandes, AP Rodrigues… - Scientific Reports, 2022 - nature.com
Detecting dangerous illnesses connected to the skin organ, particularly malignancy,
requires the identification of pigmented skin lesions. Image detection techniques and …
requires the identification of pigmented skin lesions. Image detection techniques and …
Multiclass skin lesion classification using hybrid deep features selection and extreme learning machine
The variation in skin textures and injuries, as well as the detection and classification of skin
cancer, is a difficult task. Manually detecting skin lesions from dermoscopy images is a …
cancer, is a difficult task. Manually detecting skin lesions from dermoscopy images is a …
Intelligent fusion-assisted skin lesion localization and classification for smart healthcare
With the rapid development of information technology, the conception of smart healthcare
has progressively come to the fore. Smart healthcare utilizes next-generation technologies …
has progressively come to the fore. Smart healthcare utilizes next-generation technologies …
Skin lesion extraction using multiscale morphological local variance reconstruction based watershed transform and fast fuzzy C-means clustering
Early identification of melanocytic skin lesions increases the survival rate for skin cancer
patients. Automated melanocytic skin lesion extraction from dermoscopic images using the …
patients. Automated melanocytic skin lesion extraction from dermoscopic images using the …
Detection of melanoma in dermoscopic images by integrating features extracted using handcrafted and deep learning models
P Bansal, R Garg, P Soni - Computers & Industrial Engineering, 2022 - Elsevier
Melanoma is amongst the most aggressive form of skin cancer. The manual detection of
melanoma using dermoscopic images is a labor-intensive and time-consuming process …
melanoma using dermoscopic images is a labor-intensive and time-consuming process …
A systematic review on federated learning in medical image analysis
MF Sohan, A Basalamah - IEEE Access, 2023 - ieeexplore.ieee.org
Federated Learning (FL) obtained a lot of attention to the academic and industrial
stakeholders from the beginning of its invention. The eye-catching feature of FL is handling …
stakeholders from the beginning of its invention. The eye-catching feature of FL is handling …
DeepLabv3+-based segmentation and best features selection using slime mould algorithm for multi-class skin lesion classification
M Zafar, J Amin, M Sharif, MA Anjum, GA Mallah… - Mathematics, 2023 - mdpi.com
The development of abnormal cell growth is caused by different pathological alterations and
some genetic disorders. This alteration in skin cells is very dangerous and life-threatening …
some genetic disorders. This alteration in skin cells is very dangerous and life-threatening …
Landslide data analysis using various time-series forecasting models
Landslides are among the many devastating natural calamities that cause damage to life
and property. Predicting landslides is an important task to enable preventive measures to be …
and property. Predicting landslides is an important task to enable preventive measures to be …