Deep learning in automatic diabetic retinopathy detection and grading systems: a comprehensive survey and comparison of methods

IY Abushawish, S Modak, E Abdel-Raheem… - IEEE …, 2024 - ieeexplore.ieee.org
Diabetic Retinopathy is one of the leading global causes of vision impairment and blindness
in humans. It has seen a rise in prevalence, necessitating the development of advanced …

Survival prediction across diverse cancer types using neural networks

X Yan, W Wang, M Xiao, Y Li, M Gao - Proceedings of the 2024 7th …, 2024 - dl.acm.org
Gastric cancer and Colon adenocarcinoma represent widespread and challenging
malignancies with high mortality rates and complex treatment landscapes. In response to the …

Enhancing Multimodal Understanding with CLIP-Based Image-to-Text Transformation

C Che, Q Lin, X Zhao, J Huang, L Yu - Proceedings of the 2023 6th …, 2023 - dl.acm.org
The process of transforming input images into corresponding textual explanations stands as
a crucial and complex endeavor within the domains of computer vision and natural …

Addressing unintended bias in toxicity detection: An lstm and attention-based approach

W Dai, J Tao, X Yan, Z Feng… - 2023 5th International …, 2023 - ieeexplore.ieee.org
In the digital era, online platforms serve as crucial hubs for social interactions and idea
exchange. However, these platforms are continually shadowed by toxic comments that …

An integrative paradigm for enhanced stroke prediction: Synergizing xgboost and xdeepfm algorithms

W Dai, Y Jiang, C Mou, C Zhang - Proceedings of the 2023 6th …, 2023 - dl.acm.org
Stroke prediction plays a crucial role in preventing and managing this debilitating condition.
In this study, we address the challenge of stroke prediction using a comprehensive dataset …

Investigation of creating accessibility linked data based on publicly available accessibility datasets

Y Li, X Yan, M Xiao, W Wang, F Zhang - Proceedings of the 2023 13th …, 2023 - dl.acm.org
With the fast growth of web, the web is full of diverse data. Linked Data is data on the web
that gives URIs to entities and links different data from different domains together, which …

A neural matrix decomposition recommender system model based on the multimodal large language model

A Xiang, B Huang, X Guo, H Yang… - Proceedings of the 2024 …, 2024 - dl.acm.org
Recommendation systems have become an important solution to information search
problems. This article proposes a neural matrix factorization recommendation system model …

A self-guided deep learning technique for mri image noise reduction

X Yan, MX Xiao, W Wang, Y Li… - Journal of Theory and …, 2024 - centuryscipub.com
In recent years, methods founded on deep learning have exhibited notable efficacy within
the field of medical image denoising. However, the majority of deep learning approaches …

Research on the application of semantic network in disease diagnosis prompts based on medical corpus

Y Li, W Wang, X Yan, M Gao… - International Journal of …, 2024 - ijircst.irpublications.org
Portion of the causes of medical errors in outpatient clinics are incorrect treatment resulting
from misdiagnosis. Misdiagnosis between diseases is often caused by similar and …

Fostc3net: A lightweight yolov5 based on the network structure optimization

D Ma, S Li, B Dang, H Zang, X Dong - arXiv preprint arXiv:2403.13703, 2024 - arxiv.org
Transmission line detection technology is crucial for automatic monitoring and ensuring the
safety of electrical facilities. The YOLOv5 series is currently one of the most advanced and …