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A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images
Abstract Background and Objective Early diagnosis and classification of a cancer type can
help facilitate the subsequent clinical management of the patient. Cervical cancer ranks as …
help facilitate the subsequent clinical management of the patient. Cervical cancer ranks as …
Cervical cancer classification using convolutional neural networks and extreme learning machines
Cervical cancer is one of the main reasons of death from cancer in women. The complication
of this cancer can be limited if it is diagnosed and treated at an early stage. In this paper, we …
of this cancer can be limited if it is diagnosed and treated at an early stage. In this paper, we …
A Narrative Review: Classification of Pap Smear Cell Image for Cervical Cancer Diagnosis.
Cervical cancer develops as cells transformation in the cervix of a female that connects the
uterus to the vagina. This cancer may impact the columnal epithelial cells of the cervix and …
uterus to the vagina. This cancer may impact the columnal epithelial cells of the cervix and …
A pap-smear analysis tool (PAT) for detection of cervical cancer from pap-smear images
Background Cervical cancer is preventable if effective screening measures are in place. Pap-
smear is the commonest technique used for early screening and diagnosis of cervical …
smear is the commonest technique used for early screening and diagnosis of cervical …
[PDF][PDF] Classification of clinical dataset of cervical cancer using KNN
Abstract Background/Objectives: The primary objective of this paper is to classify the clinical
dataset of cervical cancer to identify the stage of cancer which helps in proper treatment of …
dataset of cervical cancer to identify the stage of cancer which helps in proper treatment of …
[Retracted] Effective CBMIR System Using Hybrid Features‐Based Independent Condensed Nearest Neighbor Model
In recent times, a large number of medical images are generated, due to the evolution of
digital imaging modalities and computer vision application. Due to variation in the shape …
digital imaging modalities and computer vision application. Due to variation in the shape …
An enhanced ensemble diagnosis of cervical cancer: a pursuit of machine intelligence towards sustainable health
Cervical cancer is a potentially life-threatening disease marked by health practitioners. The
late diagnosis and treatment, being quite challenging, stake the precious lives of patients. In …
late diagnosis and treatment, being quite challenging, stake the precious lives of patients. In …
Nominated texture based cervical cancer classification
EJ Mariarputham, A Stephen - Computational and mathematical …, 2015 - Wiley Online Library
Accurate classification of Pap smear images becomes the challenging task in medical image
processing. This can be improved in two ways. One way is by selecting suitable well defined …
processing. This can be improved in two ways. One way is by selecting suitable well defined …
Deep feature engineering in colposcopy image recognition: a comparative study
Feature fusion techniques have been proposed and tested for many medical applications to
improve diagnostic and classification problems. Specifically, cervical cancer classification …
improve diagnostic and classification problems. Specifically, cervical cancer classification …
[PDF][PDF] Analysis of pap-smear image data
The pap-smear benchmark database provides data for comparing classification methods.
The data consists of 917 images of pap-smear cells, classified carefully by cyto-technicians …
The data consists of 917 images of pap-smear cells, classified carefully by cyto-technicians …