pramod-zillella/Skin-Lesion-Segmentation
Fully automatic skin lesion segmentation using the Berkeley wavelet transform and UNet algorithm.
This tool helps dermatologists and medical researchers quickly identify and outline skin lesions on dermoscopic images. You input a dermoscopic image, and it outputs a segmented image highlighting the precise boundaries of the lesion, assisting in the early and accurate detection of melanoma. This is designed for healthcare professionals involved in skin cancer diagnosis and analysis.
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Use this if you need an automated, fast, and accurate way to segment skin lesions from dermoscopic images for clinical assessment or research.
Not ideal if you require manual intervention for fine-tuning segmentation or if your focus is on image enhancement unrelated to lesion detection.
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Last pushed
Jun 01, 2021
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