Stem breast$ (all stems)

26 papers:

CHI-2014-VlahovicWKL #community #online

Support matching and satisfaction in an online breast cancer support community (TAV, YCW, REK, JML), pp. 1625–1634.

CSCW-2014-JacobsCM #challenge #navigation

Cancer navigation: opportunities and challenges for facilitating the breast cancer journey (MLJ, JC, EDM), pp. 1467–1478.

ICPR-2014-AghdamPS #adaptation #probability #segmentation

Adaptive Probabilistic Thresholding Method for Accurate Breast Region Segmentation in Mammograms (HHA, DP, AS), pp. 3357–3362.

ICPR-2014-BiswasZLMV #analysis #detection #image #using

Lesion Detection in Breast Ultrasound Images Using Tissue Transition Analysis (SB, FZ, XL, RM, VV), pp. 1185–1188.

ICPR-2014-XianCZ #approach #automation #image #segmentation

A Fully Automatic Breast Ultrasound Image Segmentation Approach Based on Neutro-Connectedness (MX, HDC, YZ), pp. 2495–2500.

SAC-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.

CASE-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.

KDIR-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.

CHI-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.

ICPR-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.

ICPR-2012-KrawczykS #analysis #classification #effectiveness #multi

Effective multiple classifier systems for breast thermogram analysis (BK, GS), pp. 3345–3348.

ICPR-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.

KDIR-2012-KharbatBO #algorithm #case study #dataset

A New Compaction Algorithm for LCS Rules — Breast Cancer Dataset Case Study (FK, LB, MO), pp. 382–385.

MLDM-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.

DATE-2010-CutrupiCCG #detection #flexibility

A flexible UWB Transmitter for breast cancer detection imaging systems (MC, MC, MRC, MG), pp. 1076–1081.

CHI-2010-SkeelsUPP #social

Catalyzing social support for breast cancer patients (MMS, KTU, CP, WP), pp. 173–182.

ICPR-2010-VeillardLR #image #scalability

An Exploration Scheme for Large Images: Application to Breast Cancer Grading (AV, NL, DR), pp. 3472–3475.

HCI-VAD-2009-ChenGSEJ #detection #learning

Computer-Based Learning to Improve Breast Cancer Detection Skills (YC, AGG, HJS, AE, JJ), pp. 49–57.

HCI-VAD-2009-KiefferGMBWKM #standard #towards

Towards Standardized Pen-Based Annotation of Breast Cancer Findings (SK, AG, RM, CVB, JFDW, FK, BM), pp. 524–533.

ICPR-2008-ShanCW #algorithm #automation #image #novel

A novel automatic seed point selection algorithm for breast ultrasound images (JS, HDC, YW), pp. 1–4.

SAC-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.

MLDM-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.

ICEIS-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.

ICPR-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.

ICPR-v3-2004-CaoSYW #segmentation

Breast Mass Segmentation based on Information Theory (AC, QS, XY, LW), pp. 758–761.

ICPR-1996-DiasBD #classification #identification

Results of the use of Bayesian classifiers for identification of breast cancer cell nuclei (ÂVD, FB, MRD), pp. 508–512.