Building Real-time Dermatology Classification with NVIDIA Clara AGX – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-04-01T21:14:57Z http://www.open-lab.net/blog/feed/ Roujia Wang <![CDATA[Building Real-time Dermatology Classification with NVIDIA Clara AGX]]> http://www.open-lab.net/blog/?p=32364 2022-11-08T05:58:46Z 2021-06-08T21:08:55Z The most commonly diagnosed cancer in the US today is skin cancer. There are three main variants: melanoma, basal cell carcinoma (BCC), and squamous cell...]]> The most commonly diagnosed cancer in the US today is skin cancer. There are three main variants: melanoma, basal cell carcinoma (BCC), and squamous cell...A 3-step diagram showing the workflow for skin mole detection and classification. Starting from an input, moving to the YOLOv4 model for detection, and ending with an EfficientNet model for final classification.

The most commonly diagnosed cancer in the US today is skin cancer. There are three main variants: melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). Though melanoma only accounts for roughly 1% of all skin cancers, it is the most fatal, metastasizing rapidly without early detection and treatment. This makes early detection critical, as numerous studies show significantly��

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