Diagnosis of cervical cancer and pre-cancerous lesions by artificial intelligence: a systematic review
Objective: The likelihood of timely treatment for cervical cancer increases with timely
detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells …
detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells …
Cervical Cancer Detection Techniques: A Chronological Review
Cervical cancer is known as a major health problem globally, with high mortality as well as
incidence rates. Over the years, there have been significant advancements in cervical …
incidence rates. Over the years, there have been significant advancements in cervical …
Characterization of nanosensitive multifractality in submicron scale tissue morphology and its alteration in tumor progression
Significance: Assessment of disease using optical coherence tomography is an actively
investigated problem, owing to many unresolved challenges in early disease detection …
investigated problem, owing to many unresolved challenges in early disease detection …
Prioritizing cervical cancer candidate genes using chaos game and fractal-based time series approach
T Mallikarjuna, NB Thummadi, V Vindal… - Theory in …, 2024 - Springer
Cervical cancer is one of the most severe threats to women worldwide and holds fourth rank
in lethality. It is estimated that 604, 127 cervical cancer cases have been reported in 2020 …
in lethality. It is estimated that 604, 127 cervical cancer cases have been reported in 2020 …
A Review on the Impacts of Artificial Intelligence (AI) on Youth
Abstract The influence of Artificial Intelligence (AI) is huge on the present young generation.
Especially Gen Y and Gen Z are not only using AI-related applications in their daily lives, but …
Especially Gen Y and Gen Z are not only using AI-related applications in their daily lives, but …
Multifractal analysis for detection of different stages in cervical cancer from colposcopy images
Cervical cancer is of significant health concern globally, particularly in develo** countries
where access to advanced healthcare facilities and medical resources is limited, leading to …
where access to advanced healthcare facilities and medical resources is limited, leading to …
Modification of multifractal analysis based on multiplicative cascade image
J Wang, M Huang, Y Zhang, J Kim - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
In this paper, we propose a two-dimensional multifractal detrended fluctuation norm (2D MF-
DFN) method which is based on multifractal detrended fluctuation analysis (MF-DFA) with …
DFN) method which is based on multifractal detrended fluctuation analysis (MF-DFA) with …
Modified Model of Multiplication Cascade Image-Based 2D MF-DFA with Sign Retention
Y Zhang, M Yang, J Wang - Fluctuation and Noise Letters, 2023 - World Scientific
In this paper, we propose a two-dimensional multifractal sign retention detrending fluctuation
analysis algorithm (2D MF-S-DFA), which takes the sign of the residual matrix into account …
analysis algorithm (2D MF-S-DFA), which takes the sign of the residual matrix into account …
Cervical pre-cancer detection through wavelet denoising and random forest classification
We report a multi-class classification model built using random forest (RF) and synthetic
minority oversampling technique (SMOTE) applied to extracted intrinsic fluorescence (IF) …
minority oversampling technique (SMOTE) applied to extracted intrinsic fluorescence (IF) …
Adaptive image quantization for discrimination of cervical pre-cancer
We demonstrate a Bayesian statistics-based outlier separation algorithm, which clearly
distinguishes microscope captured images of unstained human cervical tissue sections of …
distinguishes microscope captured images of unstained human cervical tissue sections of …