Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges …

MA Alsalem, AA Zaidan, BB Zaidan, M Hashim… - Journal of medical …, 2018 - Springer
This study aims to systematically review prior research on the evaluation and benchmarking
of automated acute leukaemia classification tasks. The review depends on three reliable …

Comprehensive insights into evaluation and benchmarking of real-time skin detectors: Review, open issues & challenges, and recommended solutions

QM Yas, AA Zaidan, BB Zaidan, B Rahmatullah… - Measurement, 2018 - Elsevier
Abstract Evaluation and benchmarking of real-time skin detectors remain challenging
because of multiple evaluation attributes that must be considered. Numerous evaluation and …

Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology

AA Zaidan, BB Zaidan, MA Alsalem, OS Albahri… - Neural Computing and …, 2020 - Springer
This study aimed to develop a new methodology for evaluating and benchmarking a multi-
agent learning neural network and Bayesian model for real-time skin detectors based on …

Towards on develop a framework for the evaluation and benchmarking of skin detectors based on artificial intelligent models using multi-criteria decision-making …

QM Yas, AA Zadain, BB Zaidan, MB Lakulu… - … Journal of Pattern …, 2017 - World Scientific
Evaluation and benchmarking of skin detectors are challenging tasks because of multiple
evaluation attributes and conflicting criteria. Although several evaluating and benchmarking …

A survey on a skin disease detection system

M Al Mamun, MS Uddin - International Journal of Healthcare …, 2021 - igi-global.com
Skin diseases are frequent and quite perennial in the world, and in some cases, these lead
to cancer. These are curable if detected earlier and treated appropriately. An automated …

A systematic review on smartphone skin cancer apps: coherent taxonomy, motivations, open challenges and recommendations, and new research direction

QM Yas, AA Zaidan, BB Zaidan, M Hashim… - Journal of Circuits …, 2018 - World Scientific
Objective: This research aims to survey the efforts of researchers in response to the new and
disruptive technology of skin cancer apps, map the research landscape from the literature …

Image skin segmentation based on multi-agent learning Bayesian and neural network

AA Zaidan, NN Ahmad, HA Karim, M Larbani… - … Applications of Artificial …, 2014 - Elsevier
Skin colour is considered to be a useful and discriminating spatial feature for many skin
detection-related applications, but it is not sufficiently robust to address complex image …

An automated anti-pornography system using a skin detector based on artificial intelligence: A review

AA Zaidan, HA Karim, NN Ahmad… - International Journal of …, 2013 - World Scientific
Unprecedented advances in Internet technologies with multimedia capabilities have
enabled pornography and adult content to be widely and freely distributed as easy as a click …

The landscape of research on skin detectors: Coherent taxonomy, open challenges, motivations, recommendations and statistical analysis, future directions

MA Chyad, HA AlSattar, BB Zaidan, AA Zaidan… - IEEE …, 2019 - ieeexplore.ieee.org
This paper review and analysis the literature on skin detector (SD), in order to establish the
coherent taxonomy and figure out the gap on this pivotal research area. An extensive search …

A new efficient approach to detect skin in color image using Bayesian classifier and connected component algorithm

T Nguyen-Trang - Mathematical Problems in Engineering, 2018 - Wiley Online Library
Skin detection is an interesting problem in image processing and is an important
preprocessing step for further techniques like face detection, objectionable image detection …