Search Results

Outcome prediction for salivary gland cancer using multivariate adaptative regression splines (MARS) and self-organizing maps (SOM).

• Authors : Lequerica-Fernández, Paloma (AUTHOR); Peña, Ignacio (AUTHOR); Iglesias-Rodríguez, Francisco Javier (AUTHOR)

Subjects: SALIVARY gland cancer; SELF-organizing maps; SALIVARY glands

• Source: Neural Computing & Applications. Mar2020, Vol. 32 Issue 5, p1219-1229. 11p.

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Prognosis and Prediction of Breast Cancer Using Machine Learning and Ensemble-Based Training Model.

• Authors : Gupta, Niharika (AUTHOR); Kaushik, Baij Nath (AUTHOR)

Subjects: BREAST cancer prognosis; DEEP learning; MACHINE learning

• Source: Computer Journal. Jan2023, Vol. 66 Issue 1, p70-85. 16p.

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Delta-lactoferrin, an intracellular lactoferrin isoform that acts as a transcription factor1.

• Authors : Mariller, Christophe; Hardivillé, Stephan; Hoedt, Esthelle

Subjects: LACTOFERRIN; BREAST cancer prognosis; TRANSCRIPTION factors

• Source: Biochemistry & Cell Biology. Jun2012, Vol. 90 Issue 3, p307-319. 13p.

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An automated prognosis system for estrogen hormone status assessment in breast cancer tissue samples.

• Authors : SARIKOÇ, Fatih; KALINLI, Adem; AKGÜN, Hülya

Subjects: ESTROGEN; BREAST cancer; BIOMARKERS

• Source: Turkish Journal of Electrical Engineering & Computer Sciences. 2013, Vol. 21 Issue 4, p1199-1221. 23p.

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Diagnosis of breast cancer molecular subtypes using machine learning models on unimodal and multimodal datasets.

• Authors : Rani, Samta (AUTHOR); Ahmad, Tanvir (AUTHOR); Masood, Sarfaraz (AUTHOR)

Subjects: MACHINE learning; DEEP learning; CANCER diagnosis

• Source: Neural Computing & Applications. Dec2023, Vol. 35 Issue 34, p24109-24121. 13p.

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An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm.

• Authors : Houssein, Essam H. (AUTHOR); Emam, Marwa M. (AUTHOR); Ali, Abdelmgeid A. (AUTHOR)

Subjects: DEEP learning; CANCER diagnosis; CONVOLUTIONAL neural networks

• Source: Neural Computing & Applications. Oct2022, Vol. 34 Issue 20, p18015-18033. 19p.

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An approach to classify white blood cells using convolutional neural network optimized by particle swarm optimization algorithm.

• Authors : Balasubramanian, Kishore (AUTHOR); Ananthamoorthy, N. P. (AUTHOR); Ramya, K. (AUTHOR)

Subjects: LEUCOCYTES; PARTICLE swarm optimization; BLOOD cells

• Source: Neural Computing & Applications. Sep2022, Vol. 34 Issue 18, p16089-16101. 13p.

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Comparative analysis of classification algorithms on the breast cancer recurrence using machine learning.

• Authors : Mikhailova, Valentina (AUTHOR); Anbarjafari, Gholamreza (AUTHOR)

• Source: Medical & Biological Engineering & Computing. Sep2022, Vol. 60 Issue 9, p2589-2600. 12p. 1 Diagram, 10 Charts, 2 Graphs.

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Modeling algal atypical proliferation in La Barca reservoir using L-SHADE optimized gradient boosted regression trees: a case study.

• Authors : García-Nieto, Paulino José (AUTHOR); García-Gonzalo, Esperanza (AUTHOR); Alonso Fernández, José Ramón (AUTHOR)

Subjects: REGRESSION trees; DIFFERENTIAL evolution; CHLOROPHYLL in waterSPAIN

• Source: Neural Computing & Applications. Jul2021, Vol. 33 Issue 13, p7821-7838. 18p.

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Lung cancer subtype differentiation from positron emission tomography images.

• Authors : AYYILDIZ, Oğuzhan; AYDIN, Zafer; YILMAZ, Bülent

Subjects: NON-small-cell lung carcinoma; POSITRON emission tomography; LUNG cancer

• Source: Turkish Journal of Electrical Engineering & Computer Sciences. 2020, Vol. 28 Issue 1, p262-274. 13p.

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