A lightweight YOLOv3 algorithm used for safety helmet detection

L Deng, H Li, H Liu, J Gu - Scientific reports, 2022 - nature.com
YOLOv3 is a popular and effective object detection algorithm. However, YOLOv3 has a
complex network, and floating point operations (FLOPs) and parameter sizes are large …

Hierarchical deep learning with Generative Adversarial Network for automatic cardiac diagnosis from ECG signals

Z Wang, S Stavrakis, B Yao - Computers in Biology and Medicine, 2023 - Elsevier
Cardiac disease is the leading cause of death in the US. Accurate heart disease detection is
critical to timely medical treatment to save patients' lives. Routine use of the …

MS-FANet: multi-scale feature attention network for liver tumor segmentation

Y Chen, C Zheng, W Zhang, H Lin, W Chen… - Computers in biology …, 2023 - Elsevier
Accurate segmentation of liver tumors is a prerequisite for early diagnosis of liver cancer.
Segmentation networks extract features continuously at the same scale, which cannot adapt …

Pseudo-labeling generative adversarial networks for medical image classification

J Mao, X Yin, G Zhang, B Chen, Y Chang… - Computers in Biology …, 2022 - Elsevier
Semi-supervised learning has become a popular technology in recent years. In this paper,
we propose a novel semi-supervised medical image classification algorithm, called Pseudo …

Salp swarm algorithm with iterative mapping and local escaping for multi-level threshold image segmentation: A skin cancer dermoscopic case study

S Hao, C Huang, AA Heidari, H Chen… - Journal of …, 2023 - academic.oup.com
If found and treated early, fast-growing skin cancers can dramatically prolong patients' lives.
Dermoscopy is a convenient and reliable tool during the fore-period detection stage of skin …

An intent classification method for questions in" Treatise on Febrile diseases" based on TinyBERT-CNN fusion model

H Yu, C Liu, L Zhang, C Wu, G Liang… - Computers in Biology …, 2023 - Elsevier
Abstract" Treatise on Febrile Diseases" is an important classic book in the academic history
of Chinese material medica. Based on the knowledge map of traditional Chinese medicine …

A deep learning-based model for biotic rice leaf disease detection

A Kaur, K Guleria, NK Trivedi - Multimedia Tools and Applications, 2024 - Springer
The detection of rice leaf disease is an essential step for implementing precise and timely
interventions, thereby mitigating the spread and minimizing the ecological and economic …

Identifying novel disease categories through divergence optimization: An approach to prevent misdiagnosis in medical imaging

W Li, D Yang, C Ma, L Liu - Computers in Biology and Medicine, 2023 - Elsevier
Given the significant changes in human lifestyle, the incidence of colon cancer has rapidly
increased. The diagnostic process can often be complicated due to symptom similarities …

[PDF][PDF] A Review on the Application of Deep LearningMethods in Detection and Identification of Rice Diseases and Pests.

X Yu, J Zheng - Computers, Materials & Continua, 2024 - cdn.techscience.cn
In rice production, the prevention and management of pests and diseases have always
received special attention. Traditional methods require human experts, which is costly and …

Improved XLNet modeling for Chinese named entity recognition of edible fungus

H Yu, C Wang, M Xue - Frontiers in Plant Science, 2024 - frontiersin.org
Introduction The diversity of edible fungus species and the extent of mycological knowledge
pose significant challenges to the research, cultivation, and popularization of edible fungus …