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Updated: Sep 19, 2025

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修改后的Le-Net模型具有多个图像功能,用于皮肤癌检测

Vinay Kumar Y B1, Vimala H S1, Shreyas J2

  • 1Department of Computer Science and Engineering, University of Visvesvaraya College of Engineering (UVCE, IIT Model College) Bangalore University, Bengaluru, India.

Cancer investigation
|June 19, 2025
PubMed
概括

一个新的修改后的LeNet (MLeNet) 模型与改进的深关节细分 (IDJS) 显著提高了皮肤癌检测的准确性. 这种深度学习方法实现了0.952的积极度值,超过了改善诊断解决方案的传统方法.

关键词:
皮肤镜检查 (dermoscopy) 是一种可以检查皮肤的方法.改进了DeepJoint的细分方式.改进了定向梯度的金字塔直方图和修改的LeNet.皮肤癌是一种皮肤癌.

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Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
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