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Hamarneh's MIA Research Group
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Hamarneh's MIA Research Group

Cancer MIA

We focus on developing computer vision and machine and deep learning techniques to automatically interpret medical images for cancer applications, e.g.

  • analysis of super-resolution single molecule localization microscopy data to understand cellular architecture of of prostate cancer cells

  • histopathology based automated subtype classification of ovarian and breast cancer

  • quantitative imaging from PET/CT (relation to ct-DNA) for head and neck cancer

  • brachytherapy dose accumulation related to cervical cancer

  • skin dermoscopy image analysis for melanoma diagnosis

  • image guided robotic surgery and augmented reality for kidney cancer (partial nephrectomy)

  • enhancement and analysis of confocal laser endoscopy for gastrointestinal cancer diagnosis

  • deep learning based image reconstruction of diffuse optical tomography for breast cancer detection

  • brain tumour management from MRI

© 2019-2020 Ghassan Hamarneh
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