Medical image processing - lesions

Thomas Lafferty


Supervised by Paul L Rosin; Moderated by Yukun Lai

This project will use a large database of images of skin lesions and attempt to perform automatic recognition of melanomas (cancer). The first step will be to segment the lesions, i.e. locate the region of interest in the image. This will be done by using rules to combine several techniques. Next, the regions are described by their shape , colour and texture to identify whether the lesion is malignant or not. The project will be based on techniques from the following paper:

H. Ganster, A. Pinz, et al., Automated melanoma recognition., IEEE Trans. on Medical Imaging, 2001.

Initial Plan (07/02/2022) [Zip Archive]

Final Report (27/05/2022) [Zip Archive]

Publication Form