Most previous efforts in developing computer-aided detection (CADe) of @entity1586 apply similar measures or parameters to detect @entity1127 regardless of their locations under an implicit assumption that all the @entity1127 reside in a similar local environment, e.g. on a relatively flat colon wall. In reality, this implicit assumption is frequently invalid, because the haustral folds can have a very different local environment from that of the relatively flat colon wall. We conjecture that this assumption may be a major cause of missing the detection of @entity1127 , especially small @entity1127 (<10   mm linear size) located on the haustral folds. In this paper, we take the concept of adaptiveness and present an adaptive paradigm for CADe of @entity1586 . Firstly, we decompose the complicated colon structure into two simplified sub-structures, each of which has similar properties, of (1) relatively flat colon wall and (2) ridge-shaped haustral folds. Then we develop local environment descriptions to adaptively reflect each of these two simplified sub-structures. To show the impact of the adaptiveness of the local environment descriptions upon the polyp detection task, we focus on the local geometrical measures of the volume data for both the detection of initial polyp candidates (IPCs) and the reduction of false positives (FPs) in the IPC pool. The experimental outcome using the local geometrical measures is very impressive such that not only the previously-missed small @entity1127 on the folds are detected, but also the previously miss-removed small @entity1127 on the folds during FP reduction are retained. It is expected that this adaptive paradigm will have a great impact on detecting the small @entity1127 , measuring their volumes and volume changes over time, and optimizing their management plan.

An adaptive paradigm for computer-aided detection of XXXX .

@entity1127 :: ('MESH:D011127', 'Disease') :: ['polyps'] @entity1586 :: ('MESH:D003111', 'Disease') :: ['colonic polyps']
@entity1586 :: (MESH:D003111,Disease) :: ['colonic polyps']
