๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Automated breast cancer detection and classification using ultrasound images: A survey

โœ Scribed by H.D. Cheng; Juan Shan; Wen Ju; Yanhui Guo; Ling Zhang


Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
534 KB
Volume
43
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Breast cancer detection in gadolinium-en
โœ Angelina A. Tzacheva; Kayvan Najarian; John P. Brockway ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 296 KB

## Purpose: To automate the diagnosis of malignancy by classifying breast tissues as negative or positive for malignancy in gadolinium-enhanced dynamic magnetic resonance (mr) images, using static region descriptors and a neural network classifier. ## Materials and methods: We propose a novel app

Quantitative real-time RT-PCR detection
โœ Michael Mitas; Kaidi Mikhitarian; Christian Walters; Paul L. Baron; Bruce M. Ell ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› John Wiley and Sons ๐ŸŒ French โš– 395 KB

Real-time RT-PCR is a relatively new technology that uses an online fluorescence detection system to determine gene expression levels. It has the potential to significantly improve detection of breast cancer metastasis by virtue of its exquisite sensitivity, high throughput capacity and quantitative