Blockchain-based federated learning for securing internet of things: A comprehensive survey

W Issa, N Moustafa, B Turnbull, N Sohrabi… - ACM Computing …, 2023 - dl.acm.org
The Internet of Things (IoT) ecosystem connects physical devices to the internet, offering
significant advantages in agility, responsiveness, and potential environmental benefits. The …

A review on deep learning in medical image analysis

S Suganyadevi, V Seethalakshmi… - International Journal of …, 2022 - Springer
Ongoing improvements in AI, particularly concerning deep learning techniques, are
assisting to identify, classify, and quantify patterns in clinical images. Deep learning is the …

Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives

J Li, J Chen, Y Tang, C Wang, BA Landman… - Medical image …, 2023 - Elsevier
Transformer, one of the latest technological advances of deep learning, has gained
prevalence in natural language processing or computer vision. Since medical imaging bear …

Algorithms to estimate Shapley value feature attributions

H Chen, IC Covert, SM Lundberg, SI Lee - Nature Machine Intelligence, 2023 - nature.com
Feature attributions based on the Shapley value are popular for explaining machine
learning models. However, their estimation is complex from both theoretical and …

[HTML][HTML] Deep learning for chest X-ray analysis: A survey

E Çallı, E Sogancioglu, B van Ginneken… - Medical Image …, 2021 - Elsevier
Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

NG Laleh, HS Muti, CML Loeffler, A Echle… - Medical image …, 2022 - Elsevier
Artificial intelligence (AI) can extract visual information from histopathological slides and
yield biological insight and clinical biomarkers. Whole slide images are cut into thousands of …

Blockchain for AI: Review and open research challenges

K Salah, MHU Rehman, N Nizamuddin… - IEEE …, 2019 - ieeexplore.ieee.org
Recently, artificial intelligence (AI) and blockchain have become two of the most trending
and disruptive technologies. Blockchain technology has the ability to automate payment in …

Review of big data analytics, artificial intelligence and nature-inspired computing models towards accurate detection of COVID-19 pandemic cases and contact tracing

IE Agbehadji, BO Awuzie, AB Ngowi… - International journal of …, 2020 - mdpi.com
The emergence of the 2019 novel coronavirus (COVID-19) which was declared a pandemic
has spread to 210 countries worldwide. It has had a significant impact on health systems …

Hyperparameter tuning deep learning for diabetic retinopathy fundus image classification

K Shankar, Y Zhang, Y Liu, L Wu, CH Chen - IEEE access, 2020 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a major reason for the increased visual loss globally, and it
became an important cause of visual impairment among people in 25-74 years of age. The …

[HTML][HTML] The rise of deep learning in drug discovery

H Chen, O Engkvist, Y Wang, M Olivecrona… - Drug discovery today, 2018 - Elsevier
Highlights•Deep learning technology has gained remarkable success.•We highlight the
recent applications of deep learning in drug discovery research.•Some popular deep …