Artificial Intelligence

    

Attention Weighted Fully Convolutional Neural Networks for Dermatoscopic Image Segmentation

Authors: Michael Blackwell, Qing Tian

The goal of this project was to develop a fully convolutional neural network (FCNN) capable of identifying the region of interest (ROI) in dermatoscopic images. To achieve this goal, a U-Net style model was developed for this task and enhanced with an attention module which operated on the extracted features. The addition of this attention module improved our model's semantic segmentation performance and increased pixel-level precision and recall by 4.0% and 4.6%respectively. The code used in thie paper can be found on the project github page: https://github.com/Michael-Blackwell/CapstoneProject

Comments: 5 Pages.

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[v1] 2022-09-13 02:31:50

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