相关实验视频

Updated: Jan 9, 2026

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
09:37

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Published on: August 18, 2022

2.8K

一个最佳的图形卷积视觉神经网络,具有可解释的特征优化,用于改进皮肤癌检测.

Madhavi Latha Pandala1, S Periyanayagi2

  • 1School of Computing Science Engineering and Artificial Intelligence, VIT Bhopal University, Bhopal-Indoor Highway, Kothrikalan, Madhya Pradesh, 466114, India. pandalamadhavilatha@gmail.com.

BMC medical imaging
|December 6, 2025
PubMed
概括

一个新的最佳皮肤癌分类网络 (OSCC-Net) 提高了早期皮肤癌检测的准确性. 这种人工智能模型通过平衡数据集和完善特征选择来提高生存率来增强诊断.

关键词:
适应性少数人过量抽样程序功能选择 功能选择图表卷积视觉神经网络的神经网络在2019年,ISIC将会在2019年正式启动.皮肤癌的分类 皮肤癌的分类

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