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Updated: Jun 6, 2025

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
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一个统一的多任务学习模型与联合反向优化,用于同时进行皮肤损伤细分和诊断.

Mohammed A Al-Masni1, Abobakr Khalil Al-Shamiri2, Dildar Hussain1

  • 1Department of Artificial Intelligence and Data Science, College of AI Convergence, Sejong University, Seoul 05006, Republic of Korea.

Bioengineering (Basel, Switzerland)
|November 27, 2024
PubMed
概括

本研究引入了一种统一的多任务学习方法,用于从皮肤镜图像中改进皮肤癌的分类和细分,从而提高自动化系统的诊断准确性.

关键词:
这是分类分类的分类.联合反向优化联合反向优化多任务学习是多任务学习.细分化 细分化的细分化皮肤癌是皮肤癌.

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