Breast Cancer Detection with Gabor Features from Digital Mammograms
A new breast cancer detection algorithm, named the “Gabor Cancer Detection” (GCD) algorithm, utilizing Gabor features is proposed. Three major steps are involved in the GCD algorithm, preprocessing, segmentation (generating alarm segments), and classification (reducing false alarms). In preprocessin...
Main Author: | Yufeng Zheng |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2010-01-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4893/3/1/44/ |
Similar Items
-
A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection
by: Vladimir Tadic, et al.
Published: (2021-04-01) -
Multiview Face Detection Using Gabor Filter and Support Vector Machines
by: önder, gül, et al.
Published: (2008) -
River Detection in Remotely Sensed Imagery Using Gabor Filtering and Path Opening
by: Kang Yang, et al.
Published: (2015-07-01) -
The Detection and Classification of Microcalcifications in the Visibility-Enhanced Mammograms Obtained by using the Pixel Assignment-Based Spatial Filter
by: HEKIM, M., et al.
Published: (2019-11-01) -
An Automated Breast Micro-Calcification Detection and Classification Technique Using Temporal Subtraction of Mammograms
by: Kosmia Loizidou, et al.
Published: (2020-01-01)