Computer-aided detection and classification of microcalcifications in mammograms: a survey

HD Cheng, X Cai, X Chen, L Hu, X Lou - Pattern recognition, 2003 - Elsevier
Breast cancer continues to be a significant public health problem in the world.
Approximately, 182,000 new cases of breast cancer are diagnosed and 46,000 women die …

Breast cancer statistics and prediction methodology: a systematic review and analysis

AK Dubey, U Gupta, S Jain - Asian Pacific journal of cancer …, 2015 - koreascience.kr
Breast cancer is a menacing cancer, primarily affecting women. Continuous research is
going on for detecting breast cancer in the early stage as the possibility of cure in early …

Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images

S Rajpal, N Lakhyani, AK Singh, R Kohli… - Chaos, Solitons & …, 2021 - Elsevier
Coronaviruses are a family of viruses that majorly cause respiratory disorders in humans.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a new strain of …

Image feature extraction methods for ear biometrics--a survey

M Choras - … Conference on Computer Information Systems and …, 2007 - ieeexplore.ieee.org
The human ear is a perfect source of data for passive person identification in many
applications. In a growing need for security in various public places, ear biometrics seems to …

Early diagnosis and detection of breast cancer

M Milosevic, D Jankovic, A Milenkovic… - … and Health Care, 2018 - content.iospress.com
BACKGROUND: Breast cancer is the most common malignancy in women. It is often
characterized by a lack of early symptoms, which results in late detection of the disease …

[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 …

Detection of prostate cancer by integration of line‐scan diffusion, T2‐map** and T2‐weighted magnetic resonance imaging; a multichannel statistical classifier

I Chan, W Wells III, RV Mulkern, S Haker… - Medical …, 2003 - Wiley Online Library
A multichannel statistical classifier for detecting prostate cancer was developed and
validated by combining information from three different magnetic resonance (MR) …

An evaluation of image descriptors combined with clinical data for breast cancer diagnosis

DC Moura, MA Guevara López - International journal of computer assisted …, 2013 - Springer
Purpose Breast cancer computer-aided diagnosis (CADx) may utilize image descriptors,
demographics, clinical observations, or a combination. CADx performance was compared …

Computer-aided image analysis

H Zhang, G Carls, SD Barnhill - US Patent 6,996,549, 2006 - Google Patents
Digitized image data are input into a processor where a detection component identifies the
areas (objects) of particular interest in the image and, by segmentation, separates those …

Texture analysis and classification: A complex network-based approach

AR Backes, D Casanova, OM Bruno - Information Sciences, 2013 - Elsevier
In this paper, we propose a novel texture analysis method using the complex network theory.
We investigated how a texture image can be effectively represented, characterized and …