Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9387333 | Academic Radiology | 2005 | 9 Pages |
Abstract
The MTANN can be trained with a very small number of training cases (10 nodules and 10 non-nodules) in the distinction between nodules and non-nodules (vessels) in CT images. Massive training by scanning of training cases to produce a large number of training samples (input subregions and teaching pixels) would contributed to a high generalization ability of the MTANN.
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Authors
Kenji Suzuki, Kunio Doi,