您当前的位置:
首页 >
文章列表页 >
Dermoscopic image classification based on multi-scale and three-dimensional interaction feature optimization
Information Sciences | 更新时间:2026-01-16
    • Dermoscopic image classification based on multi-scale and three-dimensional interaction feature optimization

    • In the field of skin cancer diagnosis, MTIFNet significantly improves classification accuracy and specificity through multi-scale and three-dimensional interactive feature optimization, providing strong support for doctors' diagnosis.
    • Optics and Precision Engineering   Vol. 32, Issue 24, Pages: 3644-3657(2024)
    • DOI:10.37188/OPE.20243224.3644    

      CLC: TP394.1;TH691.9
    • Received:03 April 2024

      Revised:2024-07-15

      Published:25 December 2024

    移动端阅览

  • WANG Di,LÜ Xiaoqi,LI Jing.Dermoscopic image classification based on multi-scale and three-dimensional interaction feature optimization[J].Optics and Precision Engineering,2024,32(24):3644-3657.

  •  
  •  

0

Views

231

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Optimizing vision transformer for melanoma classification: integration of feature selection and InfoNCE loss
MDAT:Multi-dimensional aggregation transformer for image super-resolution reconstruction
Cross-level feature aggregation image enhancement with dual-path hybrid attention
Infrared and visible image fusion based on target enhancement and butterfly optimization
A lightweight deep learning model for TFT-LCD circuits defect classification based on swin transformer

Related Author

MA Yuanxue
HUANG Jinjie
CHEN Pengmin
CHEN Qingjiang
YUAN Heng
WANG Xiaoxue
YAN Tinghao
ZHANG Shengchong

Related Institution

School of Automation, Harbin University of Science and Technology
School of Science, Xi'an University of Architecture and Technology
Key Laboratory of Optoelectronic Information Control and Security Technology
College of Software, Liaoning Technical University
College of Electrical and Control Engineering, Xi'an University of Science and Technology
0