{"id":1695,"date":"2026-02-23T17:45:54","date_gmt":"2026-02-24T01:45:54","guid":{"rendered":"https:\/\/biophotonics.bccrc.ca\/?p=1695"},"modified":"2026-06-17T17:08:21","modified_gmt":"2026-06-18T00:08:21","slug":"spie-medical-imaging-2026","status":"publish","type":"post","link":"https:\/\/biophotonics.bccrc.ca\/index.php\/2026\/02\/23\/spie-medical-imaging-2026\/","title":{"rendered":"SPIE Medical Imaging 2026"},"content":{"rendered":"\n

BCCRI trainees shared their work at SPIE Medical Imaging<\/a> here in Vancouver.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Fumiya Inaba<\/strong>, a student in the Guillaud lab, is developing deep learning tools to aid pathologists in determining the future prognosis of prostate cancer patients from biopsies.<\/p>\n

You can read more here: Instance scoring via distillation of multiple instance classifiers for interpretable digital pathology<\/a>.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Ian Janzen<\/strong> is developing machine learning tools tailored to a Canadian population to assist radiologists in identifying which of the smallest lung nodules require further intervention.<\/p>\n

You can read more here: Applying deep learning and radiomics to diagnostically challenging nodules in LDCT screening programs<\/a><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Fumi was awarded the Robert F. Wagner all-conference best student paper award<\/strong> for his work! Congratulations Fumi!<\/p>\n","protected":false},"excerpt":{"rendered":"

BCCRI trainees shared their work at SPIE Medical Imaging here in Vancouver. Fumiya Inaba, a student in the Guillaud lab, is developing deep learning tools to aid pathologists in determining the future prognosis of prostate cancer patients from biopsies. You can read more here: Instance scoring via distillation of multiple instance classifiers for interpretable digital […]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1695","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\nSPIE Medical Imaging 2026 - Optical Cancer Imaging Lab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/biophotonics.bccrc.ca\/index.php\/2026\/02\/23\/spie-medical-imaging-2026\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SPIE Medical Imaging 2026 - Optical Cancer Imaging Lab\" \/>\n<meta property=\"og:description\" content=\"BCCRI trainees shared their work at SPIE Medical Imaging here in Vancouver. Fumiya Inaba, a student in the Guillaud lab, is developing deep learning tools to aid pathologists in determining the future prognosis of prostate cancer patients from biopsies. 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