Abstract: A system and method for achieving more accurate results when applying an image processing task to a series of medical images of a patient, without significantly increasing processing resource. The proposed system and method is based on receiving a plurality of image sequences of a particular anatomical region, each capturing cyclical movement of an anatomical object. Each image sequence is supplied to a classifier module which employs use of one or more machine learning algorithms to derive at least one score for each image sequence indicative of predicted success or quality of a result of the image processing task if applied to the given image series. This permits an assessment to be made in advance of which of the plurality of image series is most likely to result in the best (e.g. highest quality, or greatest amount of information) results from the image processing task.

Abstract: An insert apparatus for placement in a rain gutter includes a porous insert body including a plurality of randomly arranged filaments attached to one another to form a mat. The insert apparatus is shaped to fit within an inside channel of a rain gutter. Optionally, the apparatus may include a cover panel, comprising a screen, attached to the top of the insert body. Additionally, the apparatus may include a panel provided with holes therethrough, covering the screen panel. In use, the insert apparatus is placed inside of the gutter channel so as to substantially fill part of the channel, blocking entry of debris into the gutter. When placed in the gutter channel, the insert apparatus substantially prevents foreign matter such as leaves, twigs, pine needles, etc, from collecting in the channel. The insert apparatus may be configured to leave an open flow path therebelow when installed in the gutter.