biostudies-literatureUnknown35(6)Touil AIn this paper, we propose a new collaborative process that aims to detect macrocalcifications from mammographic images while minimizing false negative detections. This process is made up of three main phases: suspicious area detection, candidate object identification, and collaborative classification. The main concept is to operate on the entire image divided into homogenous regions called superpixels which are used to identify both suspicious areas and candidate objects. The collaborative classification phase consists in making the initial results of different microcalcification detectors collaborate in order to produce a new common decision and reduce their initial disagreements. The detectors share the information about their detected objects and associated labels in order to refine theJournal of digital imaging1560-1575https://www.ebi.ac.uk/biostudies/studies/S-EPMC9712888biostudies-literatureA New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation.PMC9712888Solaiman BMahjoub MAConze PHKalti KTouil AfalseA New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation.In this paper, we propose a new collaborative process that aims to detect macrocalcifications from mammographic images while minimizing false negative detections. This process is made up of three main phases: suspicious area detection, candidate object identification, and collaborative classification. The main concept is to operate on the entire image divided into homogenous regions called superpixels which are used to identify both suspicious areas and candidate objects. The collaborative classification phase consists in making the initial results of different microcalcification detectors collaborate in order to produce a new common decision and reduce their initial disagreements. The detectors share the information about their detected objects and associated labels in order to refine the2022-01-01T00:00:00Z2022 Dec2025-04-22T13:17:22.134Z2025-04-06T00:33:55.404ZS-EPMC97128883591536710.1007/s10278-022-00678-9