[HTML][HTML] Unveiling the black box: a systematic review of Explainable Artificial Intelligence in medical image analysis
D Muhammad, M Bendechache - Computational and structural …, 2024 - Elsevier
This systematic literature review examines state-of-the-art Explainable Artificial Intelligence
(XAI) methods applied to medical image analysis, discussing current challenges and future …
(XAI) methods applied to medical image analysis, discussing current challenges and future …
[HTML][HTML] Recent Applications of Explainable AI (XAI): A Systematic Literature Review
This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
[HTML][HTML] On-Edge Deployment of Vision Transformers for Medical Diagnostics Using the Kvasir-Capsule Dataset
This paper aims to explore the possibility of utilizing vision transformers (ViTs) for on-edge
medical diagnostics by experimenting with the Kvasir-Capsule image classification dataset …
medical diagnostics by experimenting with the Kvasir-Capsule image classification dataset …
[HTML][HTML] Local interpretable model-agnostic explanation approach for medical imaging analysis: A systematic literature review
Background: The interpretability and explainability of machine learning (ML) and artificial
intelligence systems are critical for generating trust in their outcomes in fields such as …
intelligence systems are critical for generating trust in their outcomes in fields such as …
[HTML][HTML] A Comprehensive Review of Explainable AI for Disease Diagnosis
AA Biswas - Array, 2024 - Elsevier
Nowadays, artificial intelligence (AI) has been utilized in several domains of the healthcare
sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited …
sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited …
Explainable AI in Healthcare: Systematic Review of Clinical Decision Support Systems
This systematic review examines the evolution and current landscape of eXplainable
Artificial Intelligence (XAI) in Clinical Decision Support Systems (CDSS), highlighting …
Artificial Intelligence (XAI) in Clinical Decision Support Systems (CDSS), highlighting …
Machine Learning Based Palm Farming: Harvesting and Disease Identification
In the culturally and economically vital date palm sector of the Arab world, precise
assessment of fruit maturity, type, and disease is crucial for optimizing yield, quality, and …
assessment of fruit maturity, type, and disease is crucial for optimizing yield, quality, and …
A Hybrid Transfer Learning Approach to Teeth Diagnosis using Orthopantomogram Radiographs
The rise in the emphasis on oral diseases has elevated the need to automate the diagnostic
process of such diseases. Fortunately, the availability of modern computing devices has …
process of such diseases. Fortunately, the availability of modern computing devices has …
Enhancing Gastrointestinal Image Classification: A Fusion of CNN and Vision Trasformers
In order to meet the pressing demand for early diagnosis in healthcare, we proposed a
unique hybrid architecture in this study that is intended for the categorization of …
unique hybrid architecture in this study that is intended for the categorization of …
Fully Automated Inside Body WDT Transmitter Design and Optimization Through Artificial Intelligence-Based GANs and DNNs
L Kouhalvandi, L Matekovits - IEEE Antennas and Wireless …, 2024 - ieeexplore.ieee.org
Biomedical inside body wireless data transfer (WDT) interface includes the design of power
amplifiers (PAs) with implantable antenna leading to operate concurrently. Hence, active …
amplifiers (PAs) with implantable antenna leading to operate concurrently. Hence, active …