Source: ISSN: 1471-2288 ; BMC Medical Research Methodology ; https://inserm.hal.science/inserm-03694833 ; BMC Medical Research Methodology, 2022, 22 (1), pp.40. ⟨10.1186/s12874-022-01506-y⟩.

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Predicting Residual Cancer Burden in a triple negative breast cancer cohort

Authors : Naylor, Peter; Boyd, Joseph; Lae, Marick ...

Subjects: Breast Cancer; Computer-aided detection and diagnosis; Deep Learn- ingVenice; ItalyVenice, Italy

Source: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) ; 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI) ;

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Breast cancer, screening and diagnostic tools: All you need to know

Authors : Barba, Diego; León-Sosa, Ariana; Lugo, Paulina ...

Subjects: artificial intelligence; mammography; biopsy

Source: ISSN: 1040-8428 ; Critical Reviews in Oncology/Hematology ; https://hal.archives-ouvertes.fr/hal-03218320 ; Critical Reviews in Oncology/Hematology, Elsevier, 2020, 157, pp.103174.

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Development of an Anthropomorphic Phantom of the Axillary Region for Microwave Imaging Assessment

Authors : Savazzi, Matteo; Abedi, Soroush; Ištuk, Niko ...

Subjects: anthropomorphic phantom; axillary lymph node diagnosis; biological tissue dielectric properties

Source: ISSN: 1424-8220 ; Sensors ; https://centralesupelec.hal.science/hal-03663634 ; Sensors, 2020, 20 (17), pp.4968. ⟨10.3390/s20174968⟩.

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Combinatorial expression of microtubule-associated EB1 and ATIP3 biomarkers improves breast cancer prognosis

Authors : Rodrigues-Ferreira, Sylvie; Nehlig, Anne; Monchecourt, Clarisse ...

Subjects: Prognosis; MTUS1; MAPRE1

Source: ISSN: 0167-6806.

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Image features extraction for masses classification in mammograms

Authors : Chaieb, Ramzi; Bacha, Amira; Kalti, Karim ...

Subjects: Breast cancer Computer Aided Diagnosis (CAD) Characterization Selection Classification Evaluation I; Breast cancer; Computer Aided Diagnosis (CAD)Tunis; Tunisia

Source: SoCPaR ; https://hal.science/hal-04091064 ; SoCPaR, Aug 2014, Tunis, Tunisia. pp.203-208, ⟨10.1109/SOCPAR.2014.7008006⟩

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Choquet Integral based Feature Selection for Early Breast Cancer Diagnosis from MRIs

Authors : Trabelsi Ben Ameur, Soumaya; Cloppet, Florence; Dorra, Sellami ...

Subjects: Breast cancer; computer aided diagnosis; mammographyRome; Italy

Source: ICPRAM ; https://hal.archives-ouvertes.fr/hal-01391970 ; ICPRAM, Feb 2016, Rome, Italy. pp.351 - 358, ⟨10.5220/0005754703510358⟩

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Automatic Segmentation Framework for Fluorescence in Situ Hybridization Cancer Diagnosis

Authors : Stachowiak, Marcin; Jeleń, Łukasz;

Subjects: FISH; Pattern recognition; Image processingVilnius; Lithuania

Source: Lecture Notes in Computer Science ; 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM) ; https://hal.inria.fr/hal-01637485 ; 15th IFIP International

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Sociodemographic and economic factors are associated with weight gain between before and after cancer diagnosis: results from the prospective population-based NutriNet-Santé cohort

Authors : Fassier, Philippine; Zelek, Laurent; Bachmann, Patrick ...

Subjects: breast cancer; socio-demographic factors; weight gain

Source: ISSN: 1949-2553 ; Oncotarget ; https://hal.archives-ouvertes.fr/hal-02528237 ; Oncotarget, Impact journals, 2017, 8 (33), pp.54640-54653. ⟨10.18632/oncotarget.17676⟩.

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Paraconsistent Artificial Neural Network Applied in Breast Cancer Diagnosis Support

Authors : Amaral, Fábio; Abe, Jair; Cadim, Alexandre ...

Subjects: Attributes of images classifier; Breast cancer; Computer-Aided diagnosisTokyo; Japan

Source: IFIP Advances in Information and Communication Technology ; IFIP International Conference on Advances in Production Management Systems (APMS) ; https://hal.science/hal-01417535 ; IFIP International

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