[HTML][HTML] A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends

A Saranya, R Subhashini - Decision analytics journal, 2023 - Elsevier
Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and
solve common real-world problems. Machine learning and deep learning are Artificial …

[HTML][HTML] Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks

S Nazir, DM Dickson, MU Akram - Computers in Biology and Medicine, 2023 - Elsevier
Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease
diagnosis with their outstanding image classification performance. In spite of the outstanding …

Explainable deep learning models in medical image analysis

A Singh, S Sengupta, V Lakshminarayanan - Journal of imaging, 2020 - mdpi.com
Deep learning methods have been very effective for a variety of medical diagnostic tasks
and have even outperformed human experts on some of those. However, the black-box …

A survey on explainable artificial intelligence (xai): Toward medical xai

E Tjoa, C Guan - IEEE transactions on neural networks and …, 2020 - ieeexplore.ieee.org
Recently, artificial intelligence and machine learning in general have demonstrated
remarkable performances in many tasks, from image processing to natural language …

[HTML][HTML] A comprehensive review of deep neural networks for medical image processing: Recent developments and future opportunities

PK Mall, PK Singh, S Srivastav, V Narayan… - Healthcare …, 2023 - Elsevier
Artificial Intelligence (AI) solutions have been widely used in healthcare, and recent
developments in deep neural networks have contributed to significant advances in medical …

On interpretability of artificial neural networks: A survey

FL Fan, J **ong, M Li, G Wang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Deep learning as performed by artificial deep neural networks (DNNs) has achieved great
successes recently in many important areas that deal with text, images, videos, graphs, and …

[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification

MK Hasan, MA Ahamad, CH Yap, G Yang - Computers in Biology and …, 2023 - Elsevier
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 …

[HTML][HTML] Explainable artificial intelligence in skin cancer recognition: A systematic review

K Hauser, A Kurz, S Haggenmüller, RC Maron… - European Journal of …, 2022 - Elsevier
Background Due to their ability to solve complex problems, deep neural networks (DNNs)
are becoming increasingly popular in medical applications. However, decision-making by …

Explainable skin lesion diagnosis using taxonomies

C Barata, ME Celebi, JS Marques - Pattern Recognition, 2021 - Elsevier
Deep neural networks have rapidly become an indispensable tool in many classification
applications. However, the inclusion of deep learning methods in medical diagnostic …

Protopformer: Concentrating on prototypical parts in vision transformers for interpretable image recognition

M Xue, Q Huang, H Zhang, L Cheng, J Song… - arxiv preprint arxiv …, 2022 - arxiv.org
Prototypical part network (ProtoPNet) has drawn wide attention and boosted many follow-up
studies due to its self-explanatory property for explainable artificial intelligence (XAI) …