Artificial intelligence for skin cancer detection and classification for clinical environment: a systematic review

BCRS Furriel, BD Oliveira, R Prôa, JQ Paiva… - Frontiers in …, 2024 - frontiersin.org
Background Skin cancer is one of the most common forms worldwide, with a significant
increase in incidence over the last few decades. Early and accurate detection of this type of …

Field programmable gate array applications—A scientometric review

J Ruiz-Rosero, G Ramirez-Gonzalez, R Khanna - Computation, 2019 - mdpi.com
Field Programmable Gate Array (FPGA) is a general purpose programmable logic device
that can be configured by a customer after manufacturing to perform from a simple logic gate …

FPGA implementations of SVM classifiers: A review

S Afifi, H GholamHosseini, R Sinha - SN Computer Science, 2020 - Springer
Support vector machine (SVM) is a robust machine learning model with high classification
accuracy. SVM is widely utilized for online classification in various real-time embedded …

A system on chip for melanoma detection using FPGA-based SVM classifier

S Afifi, H GholamHosseini, R Sinha - Microprocessors and Microsystems, 2019 - Elsevier
Abstract Support Vector Machine (SVM) is a robust machine learning model that shows high
accuracy with different classification problems, and is widely used for various embedded …

Dynamic hardware system for cascade SVM classification of melanoma

S Afifi, H GholamHosseini, R Sinha - Neural Computing and Applications, 2020 - Springer
Melanoma is the most dangerous form of skin cancer, which is responsible for the majority of
skin cancer-related deaths. Early diagnosis of melanoma can significantly reduce mortality …

Fpga implementation of cnn algorithm for detecting malaria diseased blood cells

S Sağlam, F Tat, S Bayar - 2019 International Symposium on …, 2019 - ieeexplore.ieee.org
In this study, Field Programmable Gate Array (FPGA) implementation of Convolutional
Neural Network (CNN) for classification of malaria diseased cell is done. The hardware is …

Deep neural networks and advanced computer vision algorithms in the early diagnosis of skin diseases

J Jaworek-Korjakowska, MH Yap… - State of the art in neural …, 2023 - Elsevier
Malignant melanoma is one of the most deadly forms of skin cancer and the most advancing
cancer among many white-skinned populations. Incidence and mortality rates caused by …

Proposal of the CAD system for melanoma detection using reconfigurable computing

WKP Barros, DS Morais, FF Lopes, MF Torquato… - Sensors, 2020 - mdpi.com
This work proposes dedicated hardware to real-time cancer detection using Field-
Programmable Gate Arrays (FPGA). The presented hardware combines a Multilayer …

Machine learning algorithms for FPGA Implementation in biomedical engineering applications: A review

MB Altman, W Wan, AS Hosseini, SA Nowdeh… - Heliyon, 2024 - cell.com
Abstract Field Programmable Gate Arrays (FPGAs) are integrated circuits that can be
configured by the user after manufacturing, making them suitable for customized hardware …

Disease detection platform using image processing through OpenCV

N Faujdar, A Sinha - … analysis and deep learning for medical …, 2021 - Wiley Online Library
Presently, methods accessible for Glaucoma detection revolve around the usage of devices
such as Digital Single‐Lens Reflex (DSLR) camera, and these are extremely pricey. Same …