Deep learning-based approaches for robust classification of cervical cancer

I Pacal, S Kılıcarslan - Neural Computing and Applications, 2023 - Springer
Cervical cancer is the fourth most common cancer worldwide, and early diagnosis is crucial
for successful treatment, as with all types of cancer. The pap-smear test is considered the …

Exemplar pyramid deep feature extraction based cervical cancer image classification model using pap-smear images

O Yaman, T Tuncer - Biomedical Signal Processing and Control, 2022 - Elsevier
Cervical cancer is a common type of cancer in women worldwide. Detection of this type of
cancer in the early stages is very important for the treatment process. Early …

A fuzzy distance-based ensemble of deep models for cervical cancer detection

R Pramanik, M Biswas, S Sen… - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective Cervical cancer is one of the leading causes of women's
death. Like any other disease, cervical cancer's early detection and treatment with the best …

CerCan· Net: Cervical cancer classification model via multi-layer feature ensembles of lightweight CNNs and transfer learning

O Attallah - Expert Systems with Applications, 2023 - Elsevier
Cervical cancer ranks among the most prevalent causes of fatality in women around the
world. Early diagnosis is essential for treating cervical cancer using pap smear slides, but it …

Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT

C Zhao, R Shuai, L Ma, W Liu, M Wu - Multimedia tools and applications, 2022 - Springer
Cervical cell classification has important clinical significance in cervical cancer screening at
early stages. However, there are fewer public cervical cancer smear cell datasets, the …

CerviFormer: A pap smear‐based cervical cancer classification method using cross‐attention and latent transformer

BS Deo, M Pal, PK Panigrahi… - International Journal of …, 2024 - Wiley Online Library
Cervical cancer is one of the primary causes of death in women. It should be diagnosed
early and treated according to the best medical advice, similar to other diseases, to ensure …

Cervical cancer diagnosis based on cytology pap smear image classification using fractional coefficient and machine learning classifiers

M Kalbhor, SV Shinde, H Jude - … Computing Electronics and …, 2022 - telkomnika.uad.ac.id
Doctors and pathologists have long been concerned about determining the malignancy from
cell images. This task is laborious, time-consuming and needs expertise. Due to this reason …

MSENet: Mean and standard deviation based ensemble network for cervical cancer detection

R Pramanik, B Banerjee, R Sarkar - Engineering Applications of Artificial …, 2023 - Elsevier
Cervical cancer is one of the most concerning carcinogenic diseases among women
worldwide. The condition is especially bad in low-or middle-income countries due to the lack …

An improved deep learning based cervical cancer detection using a median filter based preprocessing

ZK Şentürk, S Uzun - Avrupa Bilim ve Teknoloji Dergisi, 2022 - dergipark.org.tr
Cervical cancer is one of the prevalent type of cancer among women although its treatment
success is the highest when compared to other types of cancer once diagnosed. Automatic …

Enhancing cervical cancer diagnosis: Integrated attention-transformer system with weakly supervised learning

A Khowaja, B Zou, X Kui - Image and Vision Computing, 2024 - Elsevier
Cervical cancer screening through cytopathological images poses a significant challenge
due to the intricate nature of cancer cells, often resulting in high misdiagnosis rates. This …