Cx22: A new publicly available dataset for deep learning-based segmentation of cervical cytology images

G Liu, Q Ding, H Luo, M Sha, X Li, M Ju - Computers in Biology and …, 2022 - Elsevier
The segmentation of cervical cytology images plays an important role in the automatic
analysis of cervical cytology screening. Although deep learning-based segmentation …

Deep learning base modified MLP model for precise scattering parameter prediction of capacitive feed antenna

N Calik, MA Belen, P Mahouti - International journal of …, 2020 - Wiley Online Library
The relations between the antennas' geometrical parameters and design specifications
usually consist of linear and nonlinear components. Especially with the increase of the …

Radio-pathomic approaches in pediatric neuro-oncology: Opportunities and challenges

AM Familiar, A Mahtabfar… - Neuro-Oncology …, 2023 - academic.oup.com
With medical software platforms moving to cloud environments with scalable storage and
computing, the translation of predictive artificial intelligence (AI) models to aid in clinical …

Classification of non-Hodgkin lymphomas based on sample entropy signatures

GB Rozendo, MZ do Nascimento, GF Roberto… - Expert Systems with …, 2022 - Elsevier
Computational systems to provide studies and diagnoses of non-Hodgkin's lymphomas
have been increasingly developed to assist specialists in their decision-making. On the …

Convolutional neural networks for classifying cervical cancer types using histological images

Y Li, F Chen, J Shi, Y Huang, M Wang - Journal of Digital Imaging, 2023 - Springer
Cervical cancer is the most common cancer among women worldwide. The diagnosis and
classification of cancer are extremely important, as it influences the optimal treatment and …

[HTML][HTML] A CAD system for automatic dysplasia grading on H&E cervical whole-slide images

SP Oliveira, D Montezuma, A Moreira, D Oliveira… - Scientific Reports, 2023 - nature.com
Cervical cancer is the fourth most common female cancer worldwide and the fourth leading
cause of cancer-related death in women. Nonetheless, it is also among the most …

Artificial intelligence–based design optimization of nonuniform microstrip line band pass filter

T Mahouti, T Yıldırım… - International Journal of …, 2021 - Wiley Online Library
Abstract Design optimization of many electromagnetic and multiphysics problems have
multiscale issues that require a fast, efficient, and accurate surrogate‐based model to be …

[HTML][HTML] Automated cervical digitized histology whole-slide image analysis toolbox

S Sornapudi, R Addanki, RJ Stanley… - Journal of Pathology …, 2021 - Elsevier
Background: Cervical intraepithelial neoplasia (CIN) is regarded as a potential
precancerous state of the uterine cervix. Timely and appropriate early treatment of CIN can …

Estimation of the scattering parameter at the resonance frequency of the UHF band of the e-shaped RFID antenna using machine learning techniques

İ Akdağ, C Göçen, M Palandöken… - 2020 4th International …, 2020 - ieeexplore.ieee.org
In this paper, a study on the estimation of the scattering parameters of the operating
resonance frequency in the Ultra High Frequency (UHF) band of the E-shaped RFID …

Polarimetry feature parameter deriving from Mueller matrix imaging and auto-diagnostic significance to distinguish HSIL and CSCC

A Hou, X Wang, Y Fan, W Miao, Y Dong… - Journal of Innovative …, 2022 - World Scientific
High-grade squamous intraepithelial lesion (HSIL) is regarded as a serious precancerous
state of cervix, and it is easy to progress into cervical invasive carcinoma which highlights …