Performance of Machine Learning Classification in Mammography Images using BI-RADS

This research aims to investigate the classification accuracy of various state-of-the-art image classification models across different categories of breast ultrasound images, as defined by the Breast Imaging Reporting and Data System (BI-RADS). To achieve this, we have utilized a comprehensively assembled dataset of 2,945 mammographic images sourced from 1,540 patients. In order to conduct a thorough analysis, we employed six advanced classification architectures, including VGG19 \cite{simonyan2014very}, ResNet50 \cite{he2016deep}, GoogleNet \cite{szegedy2015going}, ConvNext \cite{liu2022convnet}, EfficientNet \cite{tan2019efficientnet}, and Vision Transformers (ViT) \cite{dosovitskiy2020image}, instead of traditional machine learning models. We evaluate models in three different settings: full fine-tuning, linear evaluation and training from scratch. Our findings demonstrate the effectiveness and capability of our Computer-Aided Diagnosis (CAD) system, with a remarkable accuracy of 76.39\% and an F1 score of 67.94\% in the full fine-tuning setting. Our findings indicate the potential for enhanced diagnostic accuracy in the field of breast imaging, providing a solid foundation for future endeavors aiming to improve the precision and reliability of CAD systems in medical imaging

Determination of reference values for optical properties of liquid phantoms based on Intralipid and India ink

A multi-center study has been set up to accurately characterize the optical properties of diffusive liquid phantoms based on Intralipid and India ink at near-infrared (NIR) wavelengths. Nine research laboratories from six countries adopting different measurement techniques, instrumental set-ups, and data analysis methods determined at their best the optical properties and relative uncertainties of diffusive dilutions prepared with common samples of the two compounds. By exploiting a suitable statistical model, comprehensive reference values at three NIR wavelengths for the intrinsic absorption coefficient of India ink and the intrinsic reduced scattering coefficient of Intralipid-20% were determined with an uncertainty of about 2% or better, depending on the wavelength considered, and 1%, respectively. Even if in this study we focused on particular batches of India ink and Intralipid, the reference values determined here represent a solid and useful starting point for preparing diffusive liquid phantoms with accurately defined optical properties. Furthermore, due to the ready availability, low cost, long-term stability and batch-to-batch reproducibility of these compounds, they provide a unique fundamental tool for the calibration and performance assessment of diffuse optical spectroscopy instrumentation intended to be used in laboratory or clinical environment. Finally, the collaborative work presented here demonstrates that the accuracy level attained in this work for optical properties of diffusive phantoms is reliable

A gene-for-gene relationship between alfalfa and Peronospora trifoliorum

Typescript (photocopy).Digitized by Kansas Correctional Industrie

Supplementary files DIB-D-23-00350

Detailed additional description of the cited dataset concerning duplicates and other issues described in detail in Letter to the Editor: Re: “[Dataset of breast ultrasound images by W. Al-Dhabyani, M. Gomaa, H. Khaled & A. Fahmy, Data in Brief, 2020, 28, 104863]

Biodegradable starch films as an environmentally friendly packaging materials: printing performance

Biodegradable starch films can be a great alternative for non-degradable conventional plastic films as packaging materials. Packaging material, besides relevant properties such as mechanical or barrier properties, should also be characterised by a good printability to provide some required information about the product. In this study we show the possibility of printing of starch films. Potato starch films with glycerol as a plasticiser were obtained. The properties of the films were confirmed by tensile strength, water vapour transition rate, and moisture content. Next, the surface free energy of the starch films was determinate by the Owens−Wendt and van Oss–Chaudhury–Good approach. The wettability of the obtained films was investigated by the analysis of water droplet absorption. Finally, the films were overprinted with biodegradable printing ink and optical density and colour parameters were determined. The printing performance was compared with biodegradable commercially available PLA and paper. The print quality of the overprinted starch films is comparable to the PLA and paper, which shows the strong potential of using starch films as a biodegradable, environmentally friendly packaging materials.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Supplementary files DIB-D-23-00350

Detailed additional description of the cited dataset concerning duplicates and other issues described in detail in Letter to the Editor: Re: “[Dataset of breast ultrasound images by W. Al-Dhabyani, M. Gomaa, H. Khaled & A. Fahmy, Data in Brief, 2020, 28, 104863]”THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Prevalence of cognitive impairment in peritoneal dialysis patients and associated factors

Background. Cognitive impairment (CI) in patients with chronic kidney disease, including those treated with renal replacement therapy (RRT) is a growing problem worldwide. The study aimed to assess the prevalence of CI and associated factors in patients undergoing peritoneal dialysis (PD). Methods. In this cross-sectional study, 18 consecutive patients with PD therapy and 15 controls were evaluated for CI using the Addenbrooke's Cognitive Examination III (ACE III) test. Results. The prevalence of CI was 33% in patients and 27% in the control group and was not statistically significant. A higher prevalence of CI was found in subjects aged ≥65 years old than in those <65years old (p = 0.02), but only in the control group. The prevalence of CI in PD patients over and under 65 years of age did not differ statistically significantly (p = 0.12). Memory and verbal fluency were the most affected cognitive domain in PD patients with CI (p = 0.00, p = 0.04, respectively). There was a significant correlation between higher-educated PD patients and the ACE III test results. The duration of dialysis did not affect the results of the cognitive screening test. Conclusion. Cognitive impairment is a growing problem in the course of chronic kidney disease and dialysis therapy. It seems that cognitive problems may occur in patients undergoing peritoneal dialysis at a younger age than in the general population with particularly affected memory and verbal fluency. Higher-educated patients score better on the cognitive screening test

Estimation of speed distribution of particles moving in an optically turbid multiple scattering medium by decomposition of laser-Doppler spectrum

International audienceA novel method for estimation of speed distribution of particles moving in an optically turbid multiple scattering medium by decomposition of laser-Doppler spectrum is presented. In the proposed method Doppler shift probability distributions (DSPD) are utilized. These distributions depend only on anisotropy of medium under investigation. An analytical form of DSPD was proposed which allows to avoid much slower DSPD generation with the use of Monte Carlo code. Method of analytical calculation of DSPDs and laser-Doppler spectra are validated by comparison with results of Monte Carlo simulations. Decomposition of the laser-Doppler spectrum is based on solution of a system of linear equations with constraints. In case of multiple Doppler scattering the decomposition is difficult because of strong dependence of DSPDs generated for various combinations of speeds and number of scattering events. We proposed an approximation based on analysis of multiple Doppler scattering events which occur on particles moving with the same speeds. It was shown that the approximated model gives good results and can be used for analysis of laser-Doppler spectra. The solution of the system of linear equation is based on interior point method, which allows to transform system of linear equations with constraints to minimization problem without constraints using logarithmic barrier functions. The proposed decomposition procedure was verified for different speed distributions with spectra generated by superposition of DSPDs obtained by analytical forms and by use of Monte Carlo simulations