Early breast cancer detection with digital mammograms using Haar-like features and AdaBoost algorithm-Reference-Cited by-同舟云学术

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Early breast cancer detection with digital mammograms using Haar-like features and AdaBoost algorithm

Published:2016-05-19 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
Short-container-title:

Author:

Zheng Yufeng¹,Yang Clifford²,Merkulov Alex²,Bandari Malavika²

Affiliation:

1. Alcorn State Univ. (United States)

2. Univ. of Connecticut Health Ctr. (United States)

Publisher

SPIE

Reference24 articles.

1. American College of Radiology, ACR BI-RADS — Mammography, Ultrasound & Magnetic Resonance Imaging (4th ed.), American College of Radiology, Reston, VA, 2003.

2. Computer-aided mammographic screening for spiculated lesions.

3. Multiresolution detection of spiculated lesions in digital mammograms

4. Development of mass detection algorithm based on adaptive thresholding technique in digital mammograms,;Matsubara,1996

5. Digital mammography: Comparison of adaptive and nonadaptive CAD methods for mass detection

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Early detection and classification of abnormality in prior mammograms using image-to-image translation and YOLO techniques;Computer Methods and Programs in Biomedicine;2022-06

2. Convolutional neural network for automated mass segmentation in mammography;BMC Bioinformatics;2020-12

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