Automatic cervical cell segmentation and classification in Pap smears

T Chankong, N Theera-Umpon… - Computer methods and …, 2014 - Elsevier
Cervical cancer is one of the leading causes of cancer death in females worldwide. The
disease can be cured if the patient is diagnosed in the pre-cancerous lesion stage or earlier …

An application of transfer learning and ensemble learning techniques for cervical histopathology image classification

D Xue, X Zhou, C Li, Y Yao, MM Rahaman… - IEEE …, 2020 - ieeexplore.ieee.org
In recent years, researches are concentrating on the effectiveness of Transfer Learning (TL)
and Ensemble Learning (EL) techniques in cervical histopathology image analysis …

A review for cervical histopathology image analysis using machine vision approaches

C Li, H Chen, X Li, N Xu, Z Hu, D Xue, S Qi… - Artificial Intelligence …, 2020 - Springer
Because cervical histopathology image analysis plays a very importation role in the cancer
diagnosis and medical treatment processes, since the 1980s, more and more effective …

A survey on automated cancer diagnosis from histopathology images

J Angel Arul Jothi, V Mary Anita Rajam - Artificial Intelligence Review, 2017 - Springer
Detecting cancer at an early stage is useful in better patient prognosis and treatment
planning. Even though there are several preliminary tests and non-invasive procedures that …

Automatic detection of cervical cancer cells by a two‐level cascade classification system

J Su, X Xu, Y He, J Song - Analytical Cellular Pathology, 2016 - Wiley Online Library
We proposed a method for automatic detection of cervical cancer cells in images captured
from thin liquid based cytology slides. We selected 20,000 cells in images derived from 120 …

Transfer learning based classification of cervical cancer immunohistochemistry images

C Li, D Xue, X Zhou, J Zhang, H Zhang, Y Yao… - Proceedings of the third …, 2019 - dl.acm.org
Cervical cancer is the fourth leading cause of cancer-related deaths. It is very important to
make the precise diagnosis for the early stage of cervical cancer. In recent years, transfer …

An image-based flow cytometric approach to the assessment of the nucleus-to-cytoplasm ratio

JA Sebastian, MJ Moore, ESL Berndl, MC Kolios - PLoS One, 2021 - journals.plos.org
The nucleus-to-cytoplasm ratio (N: C) can be used as one metric in histology for grading
certain types of tumor malignancy. Current N: C assessment techniques are time-consuming …

[PDF][PDF] Classification of cervical cancer cells in PAP smear screening test

S Athinarayanan, MV Srinath - ICTACT Journal on Image and …, 2016 - researchgate.net
Cervical cancer is second topmost cancers among women but also, it was a curable one.
Regular smear test can discover the sign of precancerous cell and treated the patient …

Cervical cancer classification using Gabor filters

G Naghdy, M Ros, C Todd… - 2011 IEEE First …, 2011 - ieeexplore.ieee.org
This paper presents a novel algorithm for computer-assisted classification of cervical
cancers using digitized histology images of biopsies. Texture analysis of the nuclei structure …

SVM classifier of cervical histopathology images based on texture and morphological features

S He, B Xiao, H Wei, S Huang… - Technology and Health …, 2023 - content.iospress.com
BACKGROUND: Cervical histopathology image classification is a crucial indicator in cervical
biopsy results. OBJECTIVE: The objective of this study is to identify histopathology images of …