[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …
analysis is an emerging field of research that has the potential to alleviate the burden and …
A survey on deep learning for skin lesion segmentation
Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
Abstract Analysis of skin lesion images via visual inspection and manual examination to
diagnose skin cancer has always been cumbersome. This manual examination of skin …
diagnose skin cancer has always been cumbersome. This manual examination of skin …
Deep learning-based system for automatic melanoma detection
Melanoma is the deadliest form of skin cancer. Distinguishing melanoma lesions from non-
melanoma lesions has however been a challenging task. Many Computer Aided Diagnosis …
melanoma lesions has however been a challenging task. Many Computer Aided Diagnosis …
Data information processing of traffic digital twins in smart cities using edge intelligent federation learning
W Wang, F He, Y Li, S Tang, X Li, J Xia, Z Lv - Information Processing & …, 2023 - Elsevier
The present work analyzes the application of deep learning in the context of digital twins
(DTs) to promote the development of smart cities. According to the theoretical basis of DTs …
(DTs) to promote the development of smart cities. According to the theoretical basis of DTs …
Detection and classification of skin cancer by using a parallel CNN model
N Rezaoana, MS Hossain… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Skin cancer is one of the most lethal of all cancers. When it is not diagnosed and handled at
the beginning, it is supposed to extend to other areas of the body. It also occurs while the …
the beginning, it is supposed to extend to other areas of the body. It also occurs while the …
Multi-Class Skin Diseases Classification with Color and Texture Features Using Convolution Neural Network
Skin diseases are very common in our daily lives. In the present era, the prevalence of skin
diseases is significant, resulting in it being a prevalent health concern. Due to the similarities …
diseases is significant, resulting in it being a prevalent health concern. Due to the similarities …
Decision support system for detection and classification of skin cancer using CNN
R Garg, S Maheshwari, A Shukla - Innovations in computational …, 2021 - Springer
Skin cancer is one of the most deathful of all the cancers. It is bound to spread to different
parts of the body on the off chance that it is not analyzed and treated at the beginning time. It …
parts of the body on the off chance that it is not analyzed and treated at the beginning time. It …
Skin disease diagnosis from photographs using deep learning
E Goceri - VipIMAGE 2019: Proceedings of the VII ECCOMAS …, 2019 - Springer
This work aims to study performance of different deep learning based approaches to classify
skin diseases automatically from colored digital photographs. We applied recent network …
skin diseases automatically from colored digital photographs. We applied recent network …
A refinement network embedded with attention mechanism for computer vision based post-earthquake inspections of railway viaduct
J Wang, Y Lei, X Yang, F Zhang - Engineering Structures, 2023 - Elsevier
Post-earthquake inspection of structures based on computer vision is developing rapidly
due to the advantages of high efficiency and without manual feature extraction. However, it …
due to the advantages of high efficiency and without manual feature extraction. However, it …