{"id":1695,"date":"2026-02-23T17:45:54","date_gmt":"2026-02-24T01:45:54","guid":{"rendered":"https:\/\/biophotonics.bccrc.ca\/?p=1695"},"modified":"2026-04-07T12:52:19","modified_gmt":"2026-04-07T19:52:19","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

OCIL 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> 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":"

OCIL trainees shared their work at SPIE Medical Imaging here in Vancouver. Fumiya Inaba 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 pathology. Ian Janzen is developing machine […]<\/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=\"OCIL trainees shared their work at SPIE Medical Imaging here in Vancouver. Fumiya Inaba 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 pathology. 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