Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review

A Jalalian, SBT Mashohor, HR Mahmud, MIB Saripan… - Clinical imaging, 2013 - Elsevier
Breast cancer is the most common form of cancer among women worldwide. Early detection
of breast cancer can increase treatment options and patients' survivability. Mammography is …

Computer-aided detection and diagnosis of breast cancer with mammography: recent advances

J Tang, RM Rangayyan, J Xu… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Breast cancer is the second-most common and leading cause of cancer death among
women. It has become a major health issue in the world over the past 50 years, and its …

Large scale deep learning for computer aided detection of mammographic lesions

T Kooi, G Litjens, B Van Ginneken… - Medical image …, 2017 - Elsevier
Recent advances in machine learning yielded new techniques to train deep neural
networks, which resulted in highly successful applications in many pattern recognition tasks …

A deep learning approach for the analysis of masses in mammograms with minimal user intervention

N Dhungel, G Carneiro, AP Bradley - Medical image analysis, 2017 - Elsevier
We present an integrated methodology for detecting, segmenting and classifying breast
masses from mammograms with minimal user intervention. This is a long standing problem …

A review of automatic mass detection and segmentation in mammographic images

A Oliver, J Freixenet, J Marti, E Perez, J Pont… - Medical image …, 2010 - Elsevier
The aim of this paper is to review existing approaches to the automatic detection and
segmentation of masses in mammographic images, highlighting the key-points and main …

Integrating segmentation information into CNN for breast cancer diagnosis of mammographic masses

L Tsochatzidis, P Koutla, L Costaridou… - Computer Methods and …, 2021 - Elsevier
Abstract Background and Objectives Segmentation of mammographic lesions has been
proven to be a valuable source of information, as it can assist in both extracting shape …

Anniversary Paper: History and status of CAD and quantitative image analysis: The role of Medical Physics and AAPM

ML Giger, HP Chan, J Boone - Medical physics, 2008 - Wiley Online Library
The roles of physicists in medical imaging have expanded over the years, from the study of
imaging systems (sources and detectors) and dose to the assessment of image quality and …

Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm

DC Pereira, RP Ramos, MZ Do Nascimento - Computer methods and …, 2014 - Elsevier
Abstract In Brazil, the National Cancer Institute (INCA) reports more than 50,000 new cases
of the disease, with risk of 51 cases per 100,000 women. Radiographic images obtained …

[PDF][PDF] Computer-aided detection and diagnosis in mammography

MP Sampat, MK Markey, AC Bovik - Handbook of image and …, 2005 - mammoimage.org
The American Cancer Society estimates that 215,990 women will be diagnosed with breast
cancer in the United States in 2004 [1]. Another 40,110 women will die of the disease. In the …

Combining crowdsourcing and google street view to identify street-level accessibility problems

K Hara, V Le, J Froehlich - Proceedings of the SIGCHI conference on …, 2013 - dl.acm.org
Poorly maintained sidewalks, missing curb ramps, and other obstacles pose considerable
accessibility challenges; however, there are currently few, if any, mechanisms to determine …