Skin cancer diagnosis: Leveraging deep hidden features and ensemble classifiers for early detection and classification-Reference-Cited by-同舟云学术

Skin cancer diagnosis: Leveraging deep hidden features and ensemble classifiers for early detection and classification

Published:2024-02 Issue: Volume:88 Page:105306
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Akilandasowmya G.,Nirmaladevi G.,Suganthi SU.,Aishwariya A.

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference21 articles.

1. Classification of Melanoma Skin Cancer Using Inception-ResNet;Singh,2023

2. Novel therapies and innovation for systemic sclerosis skin ulceration. Best Practice & Research;Frech;Clin. Rheumatol.,2023

3. Diagnosing Melanomas in Dermoscopy Images Using Deep Learning;Alwakid;Diagnostics,2023

4. February). The role of machine learning and deep learning approaches for the detection of skin cancer;Mazhar,2023

5. A skin lesion classification method based on expanding the surrounding lesion-shaped border for an end-to-end Inception-ResNet-v2 classifier;Dakhli;Signal, Image and Video Processing,2023

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1. Fusion of transformer attention and CNN features for skin cancer detection;Applied Soft Computing;2024-10

2. Skin cancer classification leveraging multi-directional compact convolutional neural network ensembles and gabor wavelets;Scientific Reports;2024-09-04

3. Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer learning;Computers in Biology and Medicine;2024-08

4. Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects;Computers in Biology and Medicine;2024-08

5. SCCNet: Skin Cancer Detection and Multi-Class Classification Using Deep CNN Model with Estimated Disease Probabilities;SN Computer Science;2024-07-27