Authors :
Amulya V D; Ashwini S S; J H Srujwala; Amisha Sarika Gowda; Naveen Kumar C
Volume/Issue :
Volume 8 - 2023, Issue 3 - March
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://bit.ly/3KTvupk
DOI :
https://doi.org/10.5281/zenodo.7824611
Abstract :
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. Traditional screening of cervical cancer
type classification majorly depends on the pathologist’s
experience, which also has less accuracy. Colposcopy is a
critical component of cervical cancer prevention. In
conjunction with pre-cancer screening and treatment,
colposcopy has played an essential role in lowering the
incidence and mortality from cervical cancer over the
last 50 years. However, due to the increase in workload,
vision screening causes misdiagnosis and low diagnostic
efficiency. Medical image processing using the
convolutional neural network (CNN) model shows its
superiority for the classification of cervical cancer type
in the field of deep learning. In this work of ours we
have made an attempt to develop a CNN model that
identifies type of Cervical Cancer. And in turn helps
doctors to treat as per the cancer stages.
Keywords :
Cervical Cancer, CNN, Colposcopy
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. Traditional screening of cervical cancer
type classification majorly depends on the pathologist’s
experience, which also has less accuracy. Colposcopy is a
critical component of cervical cancer prevention. In
conjunction with pre-cancer screening and treatment,
colposcopy has played an essential role in lowering the
incidence and mortality from cervical cancer over the
last 50 years. However, due to the increase in workload,
vision screening causes misdiagnosis and low diagnostic
efficiency. Medical image processing using the
convolutional neural network (CNN) model shows its
superiority for the classification of cervical cancer type
in the field of deep learning. In this work of ours we
have made an attempt to develop a CNN model that
identifies type of Cervical Cancer. And in turn helps
doctors to treat as per the cancer stages.
Keywords :
Cervical Cancer, CNN, Colposcopy
