Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: A systematic survey

N Talpur, SJ Abdulkadir, H Alhussian… - Artificial intelligence …, 2023 - Springer
Deep neural networks (DNN) have remarkably progressed in applications involving large
and complex datasets but have been criticized as a black-box. This downside has recently …

New trends in melanoma detection using neural networks: a systematic review

D Popescu, M El-Khatib, H El-Khatib, L Ichim - Sensors, 2022 - mdpi.com
Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health
disease today. The high mortality rate associated with melanoma makes it necessary to …

Skin cancer detection from dermoscopic images using deep learning and fuzzy k‐means clustering

M Nawaz, Z Mehmood, T Nazir… - Microscopy research …, 2022 - Wiley Online Library
Melanoma skin cancer is the most life‐threatening and fatal disease among the family of
skin cancer diseases. Modern technological developments and research methodologies …

Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network

M Nawaz, T Nazir, M Masood, F Ali… - … Journal of Imaging …, 2022 - Wiley Online Library
Melanoma is the most fatal type of skin cancer which can cause the death of victims at the
advanced stage. Extensive work has been presented by the researcher on computer vision …

An explainable stacked ensemble of deep learning models for improved melanoma skin cancer detection

M Shorfuzzaman - Multimedia Systems, 2022 - Springer
Malignant melanoma is one of the most dreadful skin cancer types caused by the abnormal
growth of melanocyte cells. Deep convolutional neural network (CNN) models are becoming …

W-net and inception residual network for skin lesion segmentation and classification

S Khouloud, M Ahlem, T Fadel, S Amel - Applied Intelligence, 2022 - Springer
Melanoma is a serious skin disease. Automatic recognition of this lesion by dermoscopic
images is a difficult task. Recently, the deep learning paradigm has become a good …

Deep learning and optimization-based methods for skin lesions segmentation: a review

KM Hosny, D Elshoura, ER Mohamed… - IEEE …, 2023 - ieeexplore.ieee.org
Skin cancer is a senior public health issue that could profit from computer-aided diagnosis to
decrease the encumbrance of this widespread disease. Researchers have been more …

Skin lesion extraction using multiscale morphological local variance reconstruction based watershed transform and fast fuzzy C-means clustering

R Rout, P Parida, Y Alotaibi, S Alghamdi, OI Khalaf - Symmetry, 2021 - mdpi.com
Early identification of melanocytic skin lesions increases the survival rate for skin cancer
patients. Automated melanocytic skin lesion extraction from dermoscopic images using the …

The role of AI technology in prediction, diagnosis and treatment of colorectal cancer

C Yu, EJ Helwig - Artificial intelligence review, 2022 - Springer
Artificial intelligence (AI) is a fascinating new technology that incorporates machine learning
and neural networks to improve existing technology or create new ones. Potential …

[HTML][HTML] An architectural multi-agent system for a pavement monitoring system with pothole recognition in UAV images

LA Silva, H Sanchez San Blas, D Peral García… - Sensors, 2020 - mdpi.com
In recent years, maintenance work on public transport routes has drastically decreased in
many countries due to difficult economic situations. The various studies that have been …