B-Linc: Biomarkers for Lesion Images Non-diminutive and Complex

结直肠癌是一种世界性疾病。每年新增病例为130万例，相关死亡病例为70万例。在英国，结直肠癌是癌症相关死亡的第二大常见原因，每年报告的新病例有4.1万例，与癌症相关的死亡超过1.6万例。英国有23万人患有结直肠癌，结肠镜检查是检测和诊断结直肠癌的关键工具。在手术过程中，医生使用内窥镜摄像机检查肠壁，以定位、诊断和治疗息肉。然而，大型复杂息肉的诊断和切除仍然具有挑战性。B-LINC项目将使用机器学习来检测内窥镜视频中与健康和患病组织相对应的成像生物标记物。将创建一种新的生物标记物地图可视化，以支持医生改进诊断和切除计划。B-LINC将降低医疗保健支付者的成本，改善患者结局并改善患者体验。

Colorectal cancer (CRC) is a worldwide disease. There are 1.3m new cases and 0.7m related deaths are reported each year. In the UK, CRC is the second most common cause of cancer related deaths with 41k new incidents and over 16k related deaths reported each year. 230k people are living in the UK with CRC.Colonoscopy is critical tools in the detection and diagnosis of CRC. During the procedure a doctor uses an endoscopic camera to inspect the lining of the bowel to locate, diagnose and treat polyps. However, diagnosis and resection of large complex polyps remains challenging.The B-Linc project will use machine learning to detect imaging biomarkers in endoscopy video that correspond to healthy and diseased tissue. A novel biomarker map visualization will be created to support the doctor to improve diagnosis and resection planning. B-Linc will reduce cost to healthcare payers, improve patient outcomes and improve patient experience.