A cut-off criterion for calculating more reliable adsorption energy distributions from gas adsorption isotherms

Wedelstedt, Alexander von; Arnrich, Steffen; Haehnel, T; Kalies, Grit

doi:10.1177/0263617418800531

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…As per World Health Organization (WHO) report, 626,700 women die as a result of cancer-related sickness, and an average of 10 million in 2000 to 19.3 million in 2020 is recorded. The estimated number of people diagnosed with cancer would rise much more in the following years, hitting roughly 50% in 2040 than 2020 [5][6][7][8][9][10]. Using early-stage diagnostic treatment methods, many tragedies can be averted.…”

Section: Introductionmentioning

confidence: 99%

Breast Calcifications and Histopathological Analysis on Tumour Detection by CNN

Banumathy¹,

Khalaf²,

Romero³

et al. 2023

Computer Systems Science and Engineering

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The most salient argument that needs to be addressed universally is Early Breast Cancer Detection (EBCD), which helps people live longer lives. The Computer-Aided Detection (CADs)/Computer-Aided Diagnosis (CADx) system is indeed a software automation tool developed to assist the health professions in Breast Cancer Detection and Diagnosis (BCDD) and minimise mortality by the use of medical histopathological image classification in much less time. This paper purposes of examining the accuracy of the Convolutional Neural Network (CNN), which can be used to perceive breast malignancies for initial breast cancer detection to determine which strategy is efficient for the early identification of breast cell malignancies formation of masses and Breast microcalcifications on the mammogram. When we have insufficient data for a new domain that is desired to be handled by a pre-trained Convolutional Neural Network of Residual Network (ResNet50) for Breast Cancer Detection and Diagnosis, to obtain the Discriminative Localization, Convolutional Neural Network with Class Activation Map (CAM) has also been used to perform breast microcalcifications detection to find a specific class in the Histopathological image. The test results indicate that this method performed almost 225.15% better at determining the exact location of disease (Discriminative Localization) through breast microcalcifications images. ResNet50 seems to have the highest level of accuracy for images of Benign Tumour (BT)/Malignant Tumour (MT) cases at 97.11%. ResNet50's average accuracy for pre-trained Convolutional Neural Network is 94.17%.

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Section: Introductionmentioning

confidence: 99%

Breast Calcifications and Histopathological Analysis on Tumour Detection by CNN

Banumathy¹,

Khalaf²,

Romero³

et al. 2023

Computer Systems Science and Engineering

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A natural regularization of the adsorption integral equation with Langmuir-kernel

Arnrich

Kalies

2023

J Math Chem

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Adsorption integral equations are used to compute adsorption energy distributions by measured total isotherms. Since these types of equations are Fredholm integral equations of the first kind on bounded domains, they are unstable or ill-posed, respectively. Hence, there is a need for regularization. In this work, we present general regularizations based on the fourier transform for a special kernel, the Langmuir kernel. The regularization parameters are chosen as zeros or minimizers of simple functions depending on the mean absolute error of a transformed total isotherm. In difference to many other solutions proposed, an explicit error and convergence analysis is made. Additionally, we consider adsorption energy distributions with sharp peaks or for ideal adsorbents. Here, we construct a regularization for computing averages of the adsorption energy distribution and the maximal approximation error is estimated uniformly.

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Electrochemical impedance spectrum reveals structural details of distribution of pores and defects in supported phospholipid bilayers

Valinčius

2022

Bioelectrochemistry

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A cut-off criterion for calculating more reliable adsorption energy distributions from gas adsorption isotherms

Cited by 3 publications

References 18 publications

Breast Calcifications and Histopathological Analysis on Tumour Detection by CNN

Breast Calcifications and Histopathological Analysis on Tumour Detection by CNN

A natural regularization of the adsorption integral equation with Langmuir-kernel

Electrochemical impedance spectrum reveals structural details of distribution of pores and defects in supported phospholipid bilayers

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