Elastic scattering spectroscopy for early detection of breast cancer: partially supervised Bayesian image classification of scanned sentinel lymph nodes
作者: Ying ZhuTom FearnD. Wayne ChickenMartin R. AustwickSantosh K. SomasundaramCharles A. MosseBenjamin ClarkIrving J. BigioMohammed R. S. KeshtgarStephen G. Bown
作者单位: 1Nanyang Technological University
2University College London
3Boston University
刊名: Journal of Biomedical Optics, 2018, Vol.23 (8), pp.085004-085004
来源数据库: SPIE-the International Society for Optical Engineering
DOI: 10.1117/1.JBO.23.8.085004
关键词: Sentinel lymph nodesImage classificationElastic scattering spectroscopyDiscriminant dimension reductionPrincipal component analysisBayesian multivariate finite mixture modelMarkov random field
原始语种摘要: Sentinel lymph node biopsy is a standard diagnosis procedure to determine whether breast cancer has spread to the lymph glands in the armpit (the axillary nodes). The metastatic status of the sentinel node (the first node in the axillary chain that drains the affected breast) is the determining factor in surgery between conservative lumpectomy and more radical mastectomy including axillary node excision. The traditional assessment of the node requires sample preparation and pathologist interpretation. An automated elastic scattering spectroscopy (ESS) scanning device was constructed to take measurements from the entire cut surface of the excised sentinel node and to produce ESS images for cancer diagnosis. Here, we report on a partially supervised image classification scheme employing a...
全文获取路径: SPIE 
影响因子:2.881 (2012)

  • sentinel 标志
  • breast 胸部
  • lymph 淋巴
  • axillary 腋生的
  • spectroscopy 分光学
  • lumpectomy 乳房肿瘤切除术
  • mastectomy 乳房切除
  • cancer 癌症
  • armpit 夹肢窝
  • image