Redefining cystoscopy with ai: bladder cancer diagnosis using an efficient hybrid cnn-transformer model

arXiv:2403.03879v1 Announce Type: new
Abstract: Bladder cancer ranks within the top 10 most diagnosed cancers worldwide and is among the most expensive cancers to treat due to the high recurrence rates which require lifetime follow-ups. The primary tool for diagnosis is cystoscopy, which heavily relies on doctors' expertise and interpretation. Therefore, annually, numerous cases are either undiagnosed or misdiagnosed and treated as urinary infections. To address this, we suggest a deep learning approach for bladder cancer detection and segmentation which …

abstract arxiv cancer cancer diagnosis cnn cs.ai cs.cv diagnosis doctors hybrid tool top 10 transformer transformer model type ups