RGB Channel Superposition Algorithm with Acetowhite Mask Images in a Cervical Cancer Classification Deep Learning Model
Cervical cancer is one of the main causes of death from cancer in women. However, it can be treated successfully at an early stage. This study aims to propose an image processing algorithm based on acetowhite, which is an important criterion for diagnosing cervical cancer, to increase the accuracy o...
Main Authors: | Yoon Ji Kim, Woong Ju, Kye Hyun Nam, Soo Nyung Kim, Young Jae Kim, Kwang Gi Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/9/3564 |
Similar Items
-
Diagnosis Assistance in Colposcopy by Segmenting Acetowhite Epithelium Using U-Net with Images before and after Acetic Acid Solution Application
by: Toshihiro Shinohara, et al.
Published: (2023-04-01) -
A Deep Learning Review of ResNet Architecture for Lung Disease Identification in CXR Image
by: Syifa Auliyah Hasanah, et al.
Published: (2023-12-01) -
ResNet-LSTM for Real-Time PM<sub>2.5</sub> and PM₁₀ Estimation Using Sequential Smartphone Images
by: Shiguang Song, et al.
Published: (2020-01-01) -
Robust Learning with Implicit Residual Networks
by: Viktor Reshniak, et al.
Published: (2020-12-01) -
Cervical Cancer Diagnosis Using Very Deep Networks Over Different Activation Functions
by: Khaled Mabrouk Amer Adweb, et al.
Published: (2021-01-01)