Artificial neural network in breast lesions from fine-needle aspiration cytology smear
โ Scribed by Subbaiah, R. M.; Dey, Pranab; Nijhawan, Raje
- Book ID
- 120644136
- Publisher
- John Wiley and Sons
- Year
- 2013
- Tongue
- English
- Weight
- 339 KB
- Volume
- 42
- Category
- Article
- ISSN
- 8755-1039
- DOI
- 10.1002/dc.23026
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clusters necessary to ensure that adequate cellular material was present for accufornia, Los Angeles, California. rate diagnosis. The series included 21 cases cytologically diagnosed as false-negative, 75 cases that had been correctly identified as benign, 47 cases cytologically designated as atypi
Limited data exist concerning the cellular features of the ThinPrep (Cytyc Corp., Boxborough, MA) technique in the analysis of breast fine-needle aspiration specimens. Therefore, we analyzed a series of 75 surgically excised palpable breast masses and compared ThinPrep and conventional smear fine-ne