An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical Images

arXiv:2405.01937v1 Announce Type: new
Abstract: Early detection of cancer can help improve patient prognosis by early intervention. Head and neck cancer is diagnosed in specialist centres after a surgical biopsy, however, there is a potential for these to be missed leading to delayed diagnosis. To overcome these challenges, we present an attention based pipeline that identifies suspected lesions, segments, and classifies them as non-dysplastic, dysplastic and cancerous lesions. We propose (a) a vision transformer based Mask R-CNN network for lesion …

abstract arxiv attention cancer clinical cs.cv detection diagnosis head however images patient pipeline specialist type