Hybrid techniques for diagnosis with WSIs for early detection of cervical cancer based on fusion features
Cervical cancer is a global health problem that threatens the lives of women. Liquid-based
cytology (LBC) is one of the most used techniques for diagnosing cervical cancer; converting …
cytology (LBC) is one of the most used techniques for diagnosing cervical cancer; converting …
Fuzzy representation learning on graph
Recent years have witnessed a drastic surge in graph representation learning, which
usually produces low-dimensional and crisp representations from graph topology and high …
usually produces low-dimensional and crisp representations from graph topology and high …
Application of improved lightweight network and Choquet fuzzy ensemble technology for soybean disease identification
Y Hang, X Meng, Q Wu - IEEE Access, 2024 - ieeexplore.ieee.org
The identification of soybean disease images in natural scenes has been a challenging task
due to their complex backgrounds and diverse spot patterns. Traditional single convolutional …
due to their complex backgrounds and diverse spot patterns. Traditional single convolutional …
Deep learning based classification of cervical cancer using transfer learning
Cervical cancer is responsible for 90% of all deaths in low-and middle-income nations
(LMIC). Cervical cancer is still one of the most common cancers in women's that develops in …
(LMIC). Cervical cancer is still one of the most common cancers in women's that develops in …
A robust deep learning and feature fusion-based multi-class classification of cervical cells
Cervical cancer is one of the prevalent and lethal diseases in women which can be
prevented if routine screenings are conducted to find premalignant lesions at an initial stage …
prevented if routine screenings are conducted to find premalignant lesions at an initial stage …
Boosting cervical cancer detection with a multi-stage architecture and complementary information fusion
Cervical cancer is one of the most fatal and prevalent illnesses affecting women globally.
Early detection of cervical cancer is crucial for effective treatment. Pap smear tests are …
Early detection of cervical cancer is crucial for effective treatment. Pap smear tests are …
A lightweight xAI approach to cervical cancer classification
Cervical cancer is caused in the vast majority of cases by the human papilloma virus (HPV)
through sexual contact and requires a specific molecular-based analysis to be detected. As …
through sexual contact and requires a specific molecular-based analysis to be detected. As …
Enhancing Computer-Aided Cervical Cancer Detection Using a Novel Fuzzy Rank-Based Fusion
Cervical cancer is a severe and pervasive disease that poses a significant health threat to
women globally. The Pap smear test is an efficient and effective method for detecting …
women globally. The Pap smear test is an efficient and effective method for detecting …
GWABHO-Adam: Grey Wolf Algorithm Based Hyperparameter Optimization of Adam to Enhance Cancer Classification from Microscopic Images
In recent years, Convolutional Neural Networks (CNN) have revolutionized the field of
medical science by efficiently expediting the process of detection and classification of …
medical science by efficiently expediting the process of detection and classification of …
Using the fuzzy integrals for the ensemble-based segmentation of asphalt cracks
G Cyganov, A Rychenkov, A Sinitca… - Industrial Artificial …, 2023 - Springer
Detection and measurement of cracks in asphalt pavement is one of the important tasks in
transport industry to determine the quality of the pavement and submit repair requirements …
transport industry to determine the quality of the pavement and submit repair requirements …