[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 …
A Review on Utilizing Machine Learning Classification Algorithms for Skin Cancer
A Abdulazeez - Journal of Applied Science and Technology Trends, 2024 - jastt.org
Skin cancer is one of the most prevalent forms of cancer globally, with rising incidence rates
posing significant challenges to healthcare systems. Early detection and accurate diagnosis …
posing significant challenges to healthcare systems. Early detection and accurate diagnosis …
Concatenated Xception-ResNet50—A novel hybrid approach for accurate skin cancer prediction
Skin cancer is a malignant disease that affects millions of people around the world every
year. It is an invasive disease characterised by an abnormal proliferation of skin cells in the …
year. It is an invasive disease characterised by an abnormal proliferation of skin cells in the …
SkinNet-16: A deep learning approach to identify benign and malignant skin lesions
Skin cancer these days have become quite a common occurrence especially in certain
geographic areas such as Oceania. Early detection of such cancer with high accuracy is of …
geographic areas such as Oceania. Early detection of such cancer with high accuracy is of …
Skin lesion detection using hand-crafted and DL-based features fusion and LSTM
The abnormal growth of cells in the skin causes two types of tumor: benign and malignant.
Various methods, such as imaging and biopsies, are used by oncologists to assess the …
Various methods, such as imaging and biopsies, are used by oncologists to assess the …
Melanoma classification from dermoscopy images using ensemble of convolutional neural networks
Human skin is the most exposed part of the human body that needs constant protection and
care from heat, light, dust, and direct exposure to other harmful radiation, such as UV rays …
care from heat, light, dust, and direct exposure to other harmful radiation, such as UV rays …
Human age and gender prediction from facial images using deep learning methods
Human age and gender prediction from facial images has garnered significant attention due
to its importance in various applications. Traditional models struggle with large-scale …
to its importance in various applications. Traditional models struggle with large-scale …
Human gender detection from facial images using convolution neural network
Human gender detection which is a part of facial recognition has received extensive
attention because of it's different kind of application. Previous research works on gender …
attention because of it's different kind of application. Previous research works on gender …
Performance Improvement of Melanoma Detection Using a Multi-Network System Based on Decision Fusion
H El-khatib, AM Ștefan, D Popescu - Applied Sciences, 2023 - mdpi.com
The incidence of melanoma cases continues to rise, underscoring the critical need for early
detection and treatment. Recent studies highlight the significance of deep learning in …
detection and treatment. Recent studies highlight the significance of deep learning in …
Glaucoma detection using inception convolutional neural network v3
T Afroze, S Akther, MA Chowdhury, E Hossain… - … Conference on Applied …, 2021 - Springer
Glaucoma detection is an important research area in intelligent system and it plays an
important role to medical field. Glaucoma can give rise to an irreversible blindness due to …
important role to medical field. Glaucoma can give rise to an irreversible blindness due to …