Data Augmentation Techniques to Detect Cervical Cancer Using Deep Learning: A Systematic Review
Computer-assisted systems have been widely used as tools to support medical experts in
various fields, including the analysis of cervical cytology. However, due to patient privacy …
various fields, including the analysis of cervical cytology. However, due to patient privacy …
[HTML][HTML] Performance evaluation of deep learning models on mammogram classification using small dataset
Cancer is the second leading cause of death globally, and breast cancer (BC) is the second
most reported cancer. Although the incidence rate is reducing in developed countries, the …
most reported cancer. Although the incidence rate is reducing in developed countries, the …
A multi-level fine-tuned deep learning based approach for binary classification of diabetic retinopathy
Diabetes mellitus is a leading cause of diabetic retinopathy (DR), which results in retinal
lesions and vision impairment. Untreated DR can lead to blindness, highlighting the need for …
lesions and vision impairment. Untreated DR can lead to blindness, highlighting the need for …
Colposcopic image segmentation based on feature refinement and attention
Y He, L Liu, J Wang, N Zhao, H He - IEEE Access, 2024 - ieeexplore.ieee.org
The current computer-aided diagnosis for cervical cancer screening encounters issues with
missing detailed information during colposcopic image segmentation and incomplete edge …
missing detailed information during colposcopic image segmentation and incomplete edge …
[HTML][HTML] Encoder-weighted W-Net for unsupervised segmentation of cervix region in colposcopy images
Simple Summary The cervix region segmentation significantly affects the accuracy of
diagnosis when analyzing colposcopy. Detecting the cervix region requires manual …
diagnosis when analyzing colposcopy. Detecting the cervix region requires manual …
Research challenges in cervical cancer segmentation and classification using colposcopy images
Over the past three years in Indonesia, there have been 36,633 new cases of cervical
cancer, the country's second most common cause of death. Out of those cases, 21,003 …
cancer, the country's second most common cause of death. Out of those cases, 21,003 …
Classification of Cervical Intraepithelial Neoplasia Based on Combination of GLCM and L* a* b* on Colposcopy Image Using Machine Learning
Colposcopy can potentially improve diagnostic ca-pabilities to guide cervical biopsies,
contributing to improved cervical cancer screening. The previous study compared diagnostic …
contributing to improved cervical cancer screening. The previous study compared diagnostic …
CTIFI: Clinical-experience-guided three-vision images features integration for diagnosis of cervical lesions
T Xu, P Liu, X Wang, P Li, H Xue, W **, J Shen… - … Signal Processing and …, 2023 - Elsevier
At present, the research on diagnosis of cervical lesions based on deep learning mostly
uses single-vision images or full-mixed images, ignoring the correlation among the three …
uses single-vision images or full-mixed images, ignoring the correlation among the three …
[PDF][PDF] Performance Evaluation of Deep Learning Models on Mammogram Classification Using Small Dataset. Bioengineering 2022, 9, 161
AP Adedigba, SA Adeshina, AM Aibinu - 2022 - academia.edu
Cancer is the second leading cause of death globally, and breast cancer (BC) is the second
most reported cancer. Although the incidence rate is reducing in developed countries, the …
most reported cancer. Although the incidence rate is reducing in developed countries, the …
[PDF][PDF] Performance Analysis of Deep Transfer Model For Cervical Cancer Detection
Cervical cancer is the fourth most common cancer among the other female cancers and
develops in the women cervix. The main cause of cervical cancer is human …
develops in the women cervix. The main cause of cervical cancer is human …