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Using Local Context Information to Improve Automatic Mammographic Mass Detection

Velikova, Marina
Lucas, P.J.F.
Karssemeijer, B.

Publication date

January 2010

Publisher

Amsterdam : IOS Press

Abstract

Contains fulltext : 83722.pdf (publisher's version ) (Closed access)MEDINFO 2010, 12 september 201

Extracted data

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Contains fulltext : 18825_compaideo.pdf (publisher's version ) (Open Access)132 p

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Hupse, R.
Karssemeijer, N.

January 2009

Contains fulltext : 81026.pdf (publisher's version ) (Closed access)When reading m...

Classification of mammographic masses using support vector machines and Bayesian networks

Samulski, M.R.M.
Karssemeijer, N.
Lucas, P.
Groot, P.J.

January 2007

Contains fulltext : 35037.pdf (publisher's version ) (Closed access

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Karssemeijer, N.
Hendriks, J.H.C.L.

January 1997

Contains fulltext : 25498___.PDF (publisher's version ) (Open Access

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Gils, C.H. van

January 1998

Contains fulltext : 146629.pdf (Publisher’s version ) (Open Access)128 p

Detection and interval cancer rates during the transition from screen-film to digital mammography in population-based screening

Sankatsing, V.D.V.
Fracheboud, J.
Munck, Linda de
Broeders, M.J.M.
Ravesteyn, N.T. van
Heijnsdijk, E.A.
Verbeek, A.L.
Otten, J.D.M.
Siesling, Sabine
Koning, H.J. de

January 2018

Contains fulltext : 189810.pdf (publisher's version ) (Open Access

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Sanchez Gutierrez, C.I.
Ginneken, B. van
Karssemeijer, N.

January 2014

Item does not contain fulltextMass candidate detection is a crucial component of multistep computer-...

A completely automated CAD system for mass detection in a large mammographic database

Bellotti R
De Carlo F
Tangaro S
Gargano G
Maggipinto G
Castellano M
Massafra R
Cascio D
Fauci F
Magro R
Raso G
Lauria A
Forni G
Bagnasco S
Cerello P
Zanon E
Cheran SC
Torres EL
Bottigli U
Masala GL
Oliva P
Retico A
Fantacci M
Cataldo R
De Mitri I
De Nunzio G

January 2006

Mass localization plays a crucial role in computer-aided detection (CAD) systems for the classificat...

A COMPLETELY AUTOMATED CAD SYSTEM FOR MASS DETECTION IN A LARGE MAMMOGRAPHIC DATABASE

Bellotti, R.
DE CARLO, F.
Tangaro, S.
Gargano, G.
Maggipinto,
M., C.
Rmassafra,
Cascio, D.
Fauci, F.
Magro, R.
Raso, G.
A., L.
G., F.
S., B.
Pcerello,
E., Z.
Sccheran,
E., L.
U., B.
Gl, M.
P., O.
Aretico,
Me, F.
Cataldo, R.
I., D.
G., D.

January 2006

Mass localization plays a crucial role in computer-aided detection (CAD) systems for the classificat...

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Waal, D. van der
Verbeek, A.L.M.
Broeders, M.J.M.

January 2018

Contains fulltext : 190922.pdf (publisher's version ) (Open Access

Mass Detection and Classification System for Mammography Image Preprocessing

S. Thilagavathi
Dr. M. S. Irfan Ahmed

December 2017

Today in the entire world in numerous territories, Breast malignancy is a main source of disease esp...

An advanced probabilistic framework for assisting screening mammogram interpretation

Velikova, M.V.
Ferreira, N.
Samulski, M.
Lucas, P.J.F.
Karssemeijer, N.

January 2010

Contains fulltext : 83417.pdf (publisher's version ) (Closed access

Gray-scale and geometric registration of full-field digital and film-screen mammograms.

Snoeren, P.R.
Karssemeijer, N.

January 2007

Contains fulltext : 51706.pdf (publisher's version ) (Closed access

Detection of mass lesions in mammograms by using multiple views.

Engeland, S. van

January 2006

Contains fulltext : 50316.pdf (publisher's version ) (Open Access)RU Radboud Unive...

Towards expert knowledge representation for automatic breast cancer detection

Velikova, M.V.
Samulski, M.R.M.
Karssemeijer, N.
Lucas, P.J.F.

January 2008

Contains fulltext : 66931.pdf ( ) (Closed access)Lecture notes in artificial intel...