Xiangmin Li

EAL-Net: Evolutionary Algorithm-optimized Novel Lightweight Deep Learning Architecture with Multi-attention Modules and Orthogonal Softmax for Blood Cell Diagnosis

Omair Bilal, Yangfan Li, Sohaib Asif, Ming Zhao et autres

cn, us (code pays fourni par la source)

RoR-CV: A Reasoning-Enhanced Large Language Model Recommendation System for Financial Scenarios with Integrated Computer Vision

Chen Jin, Junbin Luo, Shaocheng Lyu, Chong Huang et autres

Ortho-OPD: An Automatic Osteotomy Planes Design Model for Orthognathic Surgery Based on Deep Learning

Yimin Wang, Xiangmin Li, Yang Yang, Mengjia Cheng et autres

Orthognathic surgery is applied to restore esthetical facial profile and functional occlusion for patients with dentofacial deformity. Virtual surgical planning (VSP) is indispensable for precise and individualized treatment. Manually designing osteotomy planes is time-consuming and highly experience-dependent. This study aimed to develop …

cn, hk, il (code pays fourni par la source)

Aggregation-induced emission sparkles in immunoassay

Yu‐Xiong Su, Xiaojing Fan, Jiang Hu, Xiangmin Li et autres

cn, sa (code pays fourni par la source)

Linoleic acid and heat synergistically promote the aggregation of soybean proteins and the preliminary study of molecular interaction

Jun Xiang Feng, Junkai Wang, Xiangmin Li, Haixing Li et autres

The nutritional and functional properties of soybean proteins make them commonly utilized in food applications. However, their aggregation behavior during processing needs to be further understood. This study investigated the effect of linoleic acid and heat on the aggregation of soybean proteins. …

cn (code pays fourni par la source)

Classifying breast intraductal proliferative lesions via a knowledge distillation framework using convolutional neural network-based nuclei-segmentation-assisted classification (KDCNN-NSAC)

Xiangmin Li, Jiamei Chen, Bo Luo, Minyan Xia et autres

Background and objective Diagnosis of breast intraductal proliferative lesions (BIDPLs) in hematoxylin-eosin (HE) images remains a time-consuming and intractable topic because of subjective processes and subtle morphological differences. Convolutional neural networks (CNNs) show great potential for providing objective analysis strategies for HE …

cn (code pays fourni par la source)

Pulmonary bronchial segmentation scheme based on 3D UX-Net

Mingyou Xu, Minyan Xia, Xiangmin Li

In order to achieve accurate segmentation of lung bronchus and obtain the inner diameter of the bronchus, a new method of lung bronchus segmentation design and post-processing optimization based on 3D UX-Net model was proposed. Firstly, 3D UX-Net model was used to …

cn (code pays fourni par la source)

Janus-structured colorimetric and fluorescent nanocomposites with highly luminescent retention to enhance point-of-care diagnosis

Xuan‐ang Shen, Xirui Chen, Haoxiang Zhou, Song Chen et autres

cn (code pays fourni par la source)

Janus-Structured Colorimetric and Fluorescent Nanocomposites with Highly Luminescent Retention to Enhance Point-of-Care Diagnosis

Xuan‐ang Shen, Xirui Chen, Haoxiang Zhou, Song Chen et autres

cn (code pays fourni par la source)

Linoleic Acid and Heat Synergistically Promote the Aggregation of Soybean Proteins and its Molecular Interaction Mechanism

Xiaohua Liu, Jun Feng, Junkai Wang, Xiangmin Li et autres

cn (code pays fourni par la source)

Diabetic ketoacidosis complicated with intussusception: a case report

Qin Huang, Xiang Peng, Shanshan Hu, Xinyu Tan et autres

cn (code pays fourni par la source)

Linoleic Acid and Heat Synergistically Promote the Aggregation of Soybean Proteins and the Preliminary Study of Molecular Interaction

Jun Xiang Feng, Junkai Wang, Xiangmin Li, Haixing Li et autres