Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Extraction of breast border and removal of pectoral muscle in wavelet domain
53
Zitationen
5
Autoren
2017
Jahr
Abstract
Extraction of the breast border and simultaneously exclusion of pectoral muscle are principal steps for diagnosing of breast cancer based on mammogram data. The objective of propose method is to classify the mediolateral oblique fragment of the pectoral muscle. The extraction of breast region is performed using the multilevel wavelet decomposition of mammogram images. Moreover, artifact suppression and pectoral muscle detection is carried out by morphological operator. The efficient extraction with higher accuracy is validated on the set of 322 digital images taken from MIAS dataset.
Ähnliche Arbeiten
A survey on deep learning in medical image analysis
2017 · 13.845 Zit.
Dermatologist-level classification of skin cancer with deep neural networks
2017 · 13.415 Zit.
A survey on Image Data Augmentation for Deep Learning
2019 · 11.999 Zit.
QuPath: Open source software for digital pathology image analysis
2017 · 8.346 Zit.
Radiomics: Images Are More than Pictures, They Are Data
2015 · 8.111 Zit.