BibSLEIGH
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Used together with:
cancer (14)
imag (11)
base (7)
mass (6)
use (6)

Stem breast$ (all stems)

26 papers:

CHICHI-2014-VlahovicWKL #community #online
Support matching and satisfaction in an online breast cancer support community (TAV, YCW, REK, JML), pp. 1625–1634.
CSCWCSCW-2014-JacobsCM #challenge #navigation
Cancer navigation: opportunities and challenges for facilitating the breast cancer journey (MLJ, JC, EDM), pp. 1467–1478.
ICPRICPR-2014-AghdamPS #adaptation #probability #segmentation
Adaptive Probabilistic Thresholding Method for Accurate Breast Region Segmentation in Mammograms (HHA, DP, AS), pp. 3357–3362.
ICPRICPR-2014-BiswasZLMV #analysis #detection #image #using
Lesion Detection in Breast Ultrasound Images Using Tissue Transition Analysis (SB, FZ, XL, RM, VV), pp. 1185–1188.
ICPRICPR-2014-XianCZ #approach #automation #image #segmentation
A Fully Automatic Breast Ultrasound Image Segmentation Approach Based on Neutro-Connectedness (MX, HDC, YZ), pp. 2495–2500.
SACSAC-2014-AminikhanghahiWSSJ #effectiveness #feature model #smarttech
Effective tumor feature extraction for smart phone based microwave tomography breast cancer screening (SA, WW, SYS, SHS, SIJ), pp. 674–679.
CASECASE-2013-ZhongLEHF #analysis #modelling #process #testing
Modeling and analysis of mammography testing process at a breast imaging center of University of Wisconsin medical foundation (XZ, JL, SME, CH, LF), pp. 611–616.
KDIRKDIR-KMIS-2013-BaliBBG #information management #tool support #using
Using Knowledge Management Tools and Techniques to Increase the Rate of Attendance at Breast Screening (RKB, JB, VB, MCG), pp. 344–350.
CHICHI-2012-HaqueKAALDRHS #mobile #monitoring
Findings of e-ESAS: a mobile based symptom monitoring system for breast cancer patients in rural Bangladesh (MMH, FAK, MA, SIA, RL, RD, DR, SH, RS), pp. 899–908.
ICPRICPR-2012-KhanER #detection #image
A Gamma-Gaussian mixture model for detection of mitotic cells in breast cancer histopathology images (AMK, HED, NMR), pp. 149–152.
ICPRICPR-2012-KrawczykS #analysis #classification #effectiveness #multi
Effective multiple classifier systems for breast thermogram analysis (BK, GS), pp. 3345–3348.
ICPRICPR-2012-RodriguesPBPM #image #multi #segmentation #towards #using
Towards breast ultrasound image segmentation using multi-resolution pixel descriptors (RR, AMGP, RB, MP, JM), pp. 2833–2836.
KDIRKDIR-2012-KharbatBO #algorithm #case study #dataset
A New Compaction Algorithm for LCS Rules — Breast Cancer Dataset Case Study (FK, LB, MO), pp. 382–385.
MLDMMLDM-2012-CarvalhoPS #classification #image #using
Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh’s Diversity Index and SVM (PMdSC, ACdP, ACS), pp. 482–494.
DATEDATE-2010-CutrupiCCG #detection #flexibility
A flexible UWB Transmitter for breast cancer detection imaging systems (MC, MC, MRC, MG), pp. 1076–1081.
CHICHI-2010-SkeelsUPP #social
Catalyzing social support for breast cancer patients (MMS, KTU, CP, WP), pp. 173–182.
ICPRICPR-2010-VeillardLR #image #scalability
An Exploration Scheme for Large Images: Application to Breast Cancer Grading (AV, NL, DR), pp. 3472–3475.
HCIHCI-VAD-2009-ChenGSEJ #detection #learning
Computer-Based Learning to Improve Breast Cancer Detection Skills (YC, AGG, HJS, AE, JJ), pp. 49–57.
HCIHCI-VAD-2009-KiefferGMBWKM #standard #towards
Towards Standardized Pen-Based Annotation of Breast Cancer Findings (SK, AG, RM, CVB, JFDW, FK, BM), pp. 524–533.
ICPRICPR-2008-ShanCW #algorithm #automation #image #novel
A novel automatic seed point selection algorithm for breast ultrasound images (JS, HDC, YW), pp. 1–4.
SACSAC-2008-SchiabelSA #detection #image #segmentation
Segmentation technique for detecting suspect masses in dense breast digitized images as a tool for mammography CAD schemes (HS, VTS, MFA), pp. 1333–1337.
MLDMMLDM-2007-MartinsSSPG #classification #image #using
Classification of Breast Masses in Mammogram Images Using Ripley’s K Function and Support Vector Machine (LdOM, ECdS, ACS, ACdP, MG), pp. 784–794.
ICEISICEIS-AIDSS-2006-Fornells-HerreraRMB #approach #evolution
Decision Support System for Breast Cancer Diagnosis by a Meta-Learning Approach Based on Grammar Evolution (AFH, EGiR, EBiM, JMB), pp. 222–229.
ICPRICPR-v4-2006-OliverMMBF #approach #classification
A new approach to the classification of mammographic masses and normal breast tissue (AO, JM, RM, AB, JF), pp. 707–710.
ICPRICPR-v3-2004-CaoSYW #segmentation
Breast Mass Segmentation based on Information Theory (AC, QS, XY, LW), pp. 758–761.
ICPRICPR-1996-DiasBD #classification #identification
Results of the use of Bayesian classifiers for identification of breast cancer cell nuclei (ÂVD, FB, MRD), pp. 508–512.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.