AshuMaths1729/Image_Segmenter

Skin Lesion Segmentation using both deep learning and machine learning approaches

Skin Lesion Segmentation

Skin Lesion Segmentation using both Deep Learning and normal Image Processing approaches.

Used the PH2 Dataset for the task.

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The Deep Learning Approach

Used FCNet to train the model on the images and their corresponding masks.

The data required was generated by a custom script: Copy_file.py

The Image Processing Approach

Used Median filtering, Image thresolding and Canny edge detection to generate contours using hand-crafted features.

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References:

• https://towardsdatascience.com/a-keras-pipeline-for-image-segmentation-part-1-6515a421157d

• https://www.tensorflow.org/tutorials/images/segmentation