Stem cancer$ (all stems)

51 papers:

CASE-2015-OgunmoluGJG #realtime

A real-time, soft robotic patient positioning system for maskless head-and-neck cancer radiotherapy: An initial investigation (OPO, XG, SBJ, NRG), pp. 1539–1545.

CHI-2015-ManciniHAG #detection #interface #multi

Re-Centering Multispecies Practices: A Canine Interface for Cancer Detection Dogs (CM, RH, BA, CG), pp. 2673–2682.

CSCW-2015-JacobsCM #health #information management

Comparing Health Information Sharing Preferences of Cancer Patients, Doctors, and Navigators (MLJ, JC, EDM), pp. 808–818.

CHI-2014-JacobsCM #mobile

My journey compass: a preliminary investigation of a mobile tool for cancer patients (MLJ, JC, EDM), pp. 663–672.

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.

DHM-2014-KhairatR #framework #interactive

Building a Telemedicine Framework to Improve the Interactions between Cancer Patients and Oncology Triage Nurses (SK, VR), pp. 377–384.

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.

DAC-2013-KrishnaswamyBP #question

Can CAD cure cancer? (SK, BB, DP), p. 2.

CSCW-2013-RollandL #collaboration #reliability #research #reuse #trust

Beyond trust and reliability: reusing data in collaborative cancer epidemiology research (BR, CPL), pp. 435–444.

DUXU-CXC-2013-MoodyTOKHB #self

Exploring the Need for, and Feasibility of, a Web-Based Self-Management Resource for Teenage and Young Adult Cancer Survivors in the UK (LM, AT, JO, JKA, LH, LB), pp. 417–423.

KDD-2013-LeeAC #realtime #twitter #using

Real-time disease surveillance using Twitter data: demonstration on flu and cancer (KL, AA, ANC), pp. 1474–1477.

KDD-2013-Schadt #mining #personalisation

Mining the digital universe of data to develop personalized cancer therapies (EES), p. 1134.

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.

CAiSE-2012-BinderDDDFGGHHRRW #case study #clustering #experience #on the #process

On Analyzing Process Compliance in Skin Cancer Treatment: An Experience Report from the Evidence-Based Medical Compliance Cluster (EBMC2) (MB, WD, GD, RD, KAF, WG, WG, KH, MH, SRM, CR, SW), pp. 398–413.

ICPR-2012-DinhLLRD #detection #image #multi

Training data selection for cancer detection in multispectral endoscopy images (VCD, ML, RL, OR, RPWD), pp. 161–164.

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.

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.

CHI-2011-DasFS #design #interactive #question

Interaction design for cancer patients: do we need to take into account the effects of illness and medication? (AD, AF, DS), pp. 21–24.

KDD-2011-Haussler

Cancer genomics (DH), pp. 3–4.

KDD-2011-Rejto #data mining #information management #mining #research

Knowledge discovery and data mining in pharmaceutical cancer research (PAR), p. 781.

DATE-2010-CutrupiCCG #detection #flexibility

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

CHI-2010-KlasnjaCUP

Blowing in the wind: unanchored patient information work during cancer care (PVK, ACH, KTU, WP), pp. 193–202.

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.

SAC-2010-NingYPM #mining #named #visualisation

OncoViz: a user-centric mining and visualization tool for cancer-related literature (ZN, JSY, MJP, AMM), pp. 1827–1828.

HCD-2009-NewlonHSM #design

Design of a Web-based Symptom Management Intervention for Cancer Patients (CMN, CCAH, RMS, AMM), pp. 775–784.

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.

KEOD-2009-FalelakisMLMD #ontology #research

An Ontology for Supporting Clinical Research on Cervical Cancer (MF, CM, IL, PAM, AD), pp. 103–108.

ICML-2008-DundarWLSR #case study #classification #detection

Polyhedral classifier for target detection: a case study: colorectal cancer (MD, MW, SL, MS, VCR), pp. 288–295.

ICPR-2008-SinghNGBSP #hybrid #random #using

Hybrid SVM — Random Forest classication system for oral cancer screening using LIF spectra (RKS, SKN, LG, SB, CS, KMP), pp. 1–4.

SEFM-2007-CalinescuHGDTN #architecture #modelling #research

Model-driven architecture for cancer research (RC, SH, JG, JD, IT, SBN), pp. 59–68.

DHM-2007-DionysiouSM #biology #image #multi #simulation

Simulating Cancer Radiotherapy on a Multi-level Basis: Biology, Oncology and Image Processing (DDD, GSS, KM), pp. 569–575.

KDD-2007-RaoBFSON #detection #machine learning #named

LungCAD: a clinically approved, machine learning system for lung cancer detection (RBR, JB, GF, MS, NO, DPN), pp. 1033–1037.

CASE-2006-EurschHSZMK #automation #concept #multi

A Multilevel Automation Concept for the Target-Based Production of Radioisotopes for Cancer Treatment (AE, MH, MS, MFZ, JM, EK), pp. 51–56.

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.

KDD-2005-LebanMBZ #effectiveness #modelling #visual notation

Simple and effective visual models for gene expression cancer diagnostics (GL, MM, IB, BZ), pp. 167–176.

ICPR-v2-2004-MiyamotoUHIO #comparison #predict

Comparison of Microarray-Based Predictive Systems for Early Recurrence of Cancer (TM, SU, YH, NI, MO), pp. 347–350.

KDD-2004-YanVS #predict

Predicting prostate cancer recurrence via maximizing the concordance index (LY, DV, OS), pp. 479–485.

ICEIS-v2-2003-SalemNB #adaptation #hybrid

A Hybrid Case-Based Adaptation Model for Thyroid Cancer Diagnosis (ABMS, KAN, BEB), pp. 58–65.

CHI-2002-FarnhamCSZHSCA #named #social

HutchWorld: clinical study of computer-mediated social support for cancer patients and their caregivers (SF, LC, LS, MZG, CH, KS, AMC, JA), pp. 375–382.

ICPR-v1-2002-AblameykoKLPPPT #difference #image #segmentation

From Cell Image Segmentation to Differential Diagnosis of Thyroid Cancer (SA, VK, DL, OP, NP, MP, OT), pp. 763–766.

ICPR-v4-2000-LeungCKC #bound #detection #fuzzy

Thyroid Cancer Cells Boundary Location by a Fuzzy Edge Detection Method (CCL, FHYC, PCKK, WFC), pp. 4360–4363.

ICPR-1998-OkumuraMKYMTIM #automation #detection #image

Automatic detection of lung cancers in chest CT images by variable N-Quoit filter (TO, TM, JiK, SY, MM, YT, TI, TM), pp. 1671–1673.

KDD-1997-KramerPH #machine learning #mining

Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail (SK, BP, CH), pp. 223–226.

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.

ICPR-1996-KanazawaKN #image

Computer aided diagnosis system for lung cancer based on helical CT images (KK, MK, NN), pp. 381–385.

ICPR-1996-MurshedBS #approach #classification #detection #fuzzy #problem

A fuzzy ARTMAP-based classification system for detecting cancerous cells, based on the one-class problem approach (NAM, FB, RS), pp. 478–482.

ICPR-1996-YamamotoMTI0 #automation #detection

Quoit filter-a new filter based on mathematical morphology to extract the isolated shadow, and its application to automatic detection of lung cancer in X-ray CT (SY, MM, YT, TI, TM), pp. 3–7.

SIGIR-1983-Pollitt #approach #rule-based

End User Touch Searching for Cancer Therapy Literature: A Rule-Based Approach (ASP), pp. 136–145.