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一个模糊的基于等级的深层组合方法,用于多类皮肤癌分类

Arindam Halder1, Anogh Dalal1, Sanghita Gharami1

  • 1Department of Information Technology, Jadavpur University, Jadavpur University Salt Lake Campus, Plot No. 8, Salt Lake Bypass, LB Block, Sector III, Salt Lake City, Kolkata, 700106, West Bengal, India.

Scientific reports
|February 20, 2025
PubMed
概括

这项研究开发了一个有效的皮肤癌检测模型,在HAM10000数据集上使用深度学习和模糊逻辑. 该方法实现了95.14%的准确性,证明了早期皮肤癌识别的潜力.

关键词:
深度学习是一种深度学习.皮肤科学家 皮肤科学家一个迷糊的合奏.在HAM1000000中,我们可以看到HAM10000的价格.在 InceptionResNetV2 中,我们可以使用 InceptionResNetV2.移动网络V2 移动网络V2皮肤癌图像分类 皮肤癌图像分类Xception 接收 接收 接收

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