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多光谱成像和自光光漂白结合在多头神经网络中进行皮肤癌分类

Vilen Jumutc1, Andrey Bondarenko1, Mihails Kovalovs1

  • 1Institute of Applied Computer Systems, Riga Technical University, Riga, Latvia.

Frontiers in medicine
|February 26, 2026
PubMed
概括

多头神经网络通过使用专门的损失函数来改善高光谱皮肤癌的分类. 这种方法提高了从皮肤病变图像中检测黑色素瘤的准确性和精确回忆性能.

关键词:
深度学习是一种深度学习.多头架构的多头架构.神经网络的神经网络的神经网络摄影漂白的使用方法皮肤癌是皮肤癌.

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Skin Cancer01:30

Skin Cancer

Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...