Journal ArticleDOI
Estimation of tumor parameters using neural networks for inverse bioheat problem.
Jihen Majdoubi,Adithya S. Iyer,Adil M. Ashique,D. Arumuga Perumal,Y.M. Mahrous,Mohammad Rahimi-Gorji,Alibek Issakhov +6 more
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TLDR
A non-intrusive method for the diagnosis of breast cancer was modelled, which yields conclusive results for the estimation of the tumor parameters.About:
This article is published in Computer Methods and Programs in Biomedicine.The article was published on 2021-04-09. It has received 3 citations till now. The article focuses on the topics: Feedforward neural network & Bioheat transfer.read more
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A Computational Study on the Role of Parameters for Identification of Thyroid Nodules by Infrared Images (and Comparison with Real Data).
J. R. Gonzalez,Charbel Damião,M. B. H. Moran,Cristina Asvolinsque Pantaleão,Rubens A. Cruz,Giovanna A. Balarini,Aura Conci +6 more
TL;DR: In this paper, a great number of numerical simulations of the heat transfer in the region under analysis, based on the Finite Element method, are performed to study the influence of each nodule and patient characteristics on the infrared sensor acquisition.
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Modeling of glioma growth using modified reaction-diffusion equation on brain MR images
TL;DR: In this article , a new growth model of brain tumor using a reaction-diffusion equation on brain magnetic resonance images is proposed, where both the heterogeneity of brain tissue and the density of tumor cells are used to estimate the proliferation and diffusion coefficients of the brain tumor cells.
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GANs-Based Intracoronary Optical Coherence Tomography Image Augmentation for Improved Plaques Characterization Using Deep Neural Networks
TL;DR: In this paper , conditional generative adversarial networks (cGANs) were used on a dataset of OCT-acquired images of coronary atrial plaques for synthetic data creation for the first time, and further validated using deep learning architecture.
References
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Analysis of Tissue and Arterial Blood Temperatures in the Resting Human Forearm
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A new predictive equation for resting energy expenditure in healthy individuals.
Mark D. Mifflin,Sachiko T. St. Jeor,Lisa A. Hill,B.J. Scott,Sandra A. Daugherty,Young O. Koh +5 more
TL;DR: A predictive equation for resting energy expenditure (REE) was derived from data from 498 healthy subjects, including females and males, aged 19-78 y, and overestimated measured REE by 5% (p less than 0.01).
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An estimation of the number of cells in the human body
Eva Bianconi,Allison Piovesan,Federica Facchin,Alina Beraudi,Raffaella Casadei,Flavia Frabetti,Lorenza Vitale,Maria Chiara Pelleri,Simone Tassani,Francesco Piva,Soledad Perez-Amodio,Pierluigi Strippoli,Silvia Canaider +12 more
TL;DR: Knowing the total cell number of the human body as well as of individual organs is important from a cultural, biological, medical and comparative modelling point of view.
Journal ArticleDOI
Breast Cancer—Major changes in the American Joint Committee on Cancer eighth edition cancer staging manual
Armando E. Giuliano,James L. Connolly,Stephen B. Edge,Elizabeth A. Mittendorf,Hope S. Rugo,Lawrence J. Solin,Donald L. Weaver,David J. Winchester,Gabriel N. Hortobagyi +8 more
TL;DR: The American Joint Commission of Cancer (AJCC) published the 8th edition of the primary tumor, lymph node, and metastasis (TNM) classification for breast cancer as discussed by the authors.
Journal ArticleDOI
An innovative neural network approach for stock market prediction
TL;DR: An innovative neural network approach to achieve better stock market predictions by using the embedded layer and the automatic encoder, respectively, to vectorize the data, in a bid to forecast the stock via long short-term memory neural network.
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