Matches in SemOpenAlex for { <https://semopenalex.org/work/W3110147493> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W3110147493 endingPage "1339" @default.
- W3110147493 startingPage "1336" @default.
- W3110147493 abstract "Computerized schemes are currently being developed at the University of Chicago to detect mass lesions in digital mammograms. Artificial neural networks play an important role in the detection of masses. Currently, features are extracted from potential lesion areas and sent through a neural network to decide whether the area is to be called a true lesion or a false detection. One of the most difficult aspects of dealing with artificial neural networks is to train them without over-training; in other words, to take both the bias and variance into account when training. Typically, an early stopping technique is employed; that is, the neural network is tested on an independent data set and training is stopped when the the performance on this independent data set is maximized. In this paper the effectiveness of regularization is evaluated as a technique to minimize over-training. Regularization adds an extra term to the cost-function used in neural network training that penalizes over-complex results. The results of simulation studies will be presented along with results obtained using data of actual lesions and false positives from the authors' computerized mass detection scheme." @default.
- W3110147493 created "2020-12-07" @default.
- W3110147493 creator A5049042648 @default.
- W3110147493 creator A5069192131 @default.
- W3110147493 date "1997-12-01" @default.
- W3110147493 modified "2023-09-28" @default.
- W3110147493 title "Investigation of regularized neural networks for the computerized detection of mass lesions in digital mammograms" @default.
- W3110147493 hasPublicationYear "1997" @default.
- W3110147493 type Work @default.
- W3110147493 sameAs 3110147493 @default.
- W3110147493 citedByCount "0" @default.
- W3110147493 crossrefType "journal-article" @default.
- W3110147493 hasAuthorship W3110147493A5049042648 @default.
- W3110147493 hasAuthorship W3110147493A5069192131 @default.
- W3110147493 hasConcept C112789634 @default.
- W3110147493 hasConcept C119857082 @default.
- W3110147493 hasConcept C153180895 @default.
- W3110147493 hasConcept C154945302 @default.
- W3110147493 hasConcept C177264268 @default.
- W3110147493 hasConcept C199360897 @default.
- W3110147493 hasConcept C2776135515 @default.
- W3110147493 hasConcept C41008148 @default.
- W3110147493 hasConcept C50644808 @default.
- W3110147493 hasConcept C58489278 @default.
- W3110147493 hasConcept C64869954 @default.
- W3110147493 hasConceptScore W3110147493C112789634 @default.
- W3110147493 hasConceptScore W3110147493C119857082 @default.
- W3110147493 hasConceptScore W3110147493C153180895 @default.
- W3110147493 hasConceptScore W3110147493C154945302 @default.
- W3110147493 hasConceptScore W3110147493C177264268 @default.
- W3110147493 hasConceptScore W3110147493C199360897 @default.
- W3110147493 hasConceptScore W3110147493C2776135515 @default.
- W3110147493 hasConceptScore W3110147493C41008148 @default.
- W3110147493 hasConceptScore W3110147493C50644808 @default.
- W3110147493 hasConceptScore W3110147493C58489278 @default.
- W3110147493 hasConceptScore W3110147493C64869954 @default.
- W3110147493 hasLocation W31101474931 @default.
- W3110147493 hasOpenAccess W3110147493 @default.
- W3110147493 hasPrimaryLocation W31101474931 @default.
- W3110147493 hasRelatedWork W1519768477 @default.
- W3110147493 hasRelatedWork W1541547723 @default.
- W3110147493 hasRelatedWork W1968020313 @default.
- W3110147493 hasRelatedWork W2014235936 @default.
- W3110147493 hasRelatedWork W2109064255 @default.
- W3110147493 hasRelatedWork W2495907036 @default.
- W3110147493 hasRelatedWork W2503134585 @default.
- W3110147493 hasRelatedWork W2783710041 @default.
- W3110147493 hasRelatedWork W2803094129 @default.
- W3110147493 hasRelatedWork W2806389172 @default.
- W3110147493 hasRelatedWork W2891566869 @default.
- W3110147493 hasRelatedWork W2898937096 @default.
- W3110147493 hasRelatedWork W2943867032 @default.
- W3110147493 hasRelatedWork W3011201882 @default.
- W3110147493 hasRelatedWork W3017738304 @default.
- W3110147493 hasRelatedWork W3020928056 @default.
- W3110147493 hasRelatedWork W3129794170 @default.
- W3110147493 hasRelatedWork W3199262103 @default.
- W3110147493 hasRelatedWork W3199607480 @default.
- W3110147493 hasRelatedWork W3212798775 @default.
- W3110147493 hasVolume "3" @default.
- W3110147493 isParatext "false" @default.
- W3110147493 isRetracted "false" @default.
- W3110147493 magId "3110147493" @default.
- W3110147493 workType "article" @default.