A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning
This survey aims to identify commonly used methods, datasets, future trends, knowledge
gaps, constraints, and limitations in the field to provide an overview of current solutions used …
gaps, constraints, and limitations in the field to provide an overview of current solutions used …
[Retracted] Ant Colony Optimization‐Enabled CNN Deep Learning Technique for Accurate Detection of Cervical Cancer
R Kavitha, DK Jothi, K Saravanan… - BioMed Research …, 2023 - Wiley Online Library
Cancer is characterized by abnormal cell growth and proliferation, which are both diagnostic
indicators of the disease. When cancerous cells enter one organ, there is a risk that they …
indicators of the disease. When cancerous cells enter one organ, there is a risk that they …
Diagnosis of cervical cancer based on ensemble deep learning network using colposcopy images
V Chandran, MG Sumithra, A Karthick… - BioMed Research …, 2021 - Wiley Online Library
Traditional screening of cervical cancer type classification majorly depends on the
pathologist's experience, which also has less accuracy. Colposcopy is a critical component …
pathologist's experience, which also has less accuracy. Colposcopy is a critical component …
Recent advancement in cervical cancer diagnosis for automated screening: a detailed review
B Chitra, SS Kumar - Journal of Ambient Intelligence and Humanized …, 2022 - Springer
Cervical cancer is one of the most common and dangerous diseases for women. Initial
diagnosis and classification of cervical cancer are to reduce the mortality rate. The Pap …
diagnosis and classification of cervical cancer are to reduce the mortality rate. The Pap …
Cervical cancer diagnostics healthcare system using hybrid object detection adversarial networks
R Elakkiya, V Subramaniyaswamy… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Cervical cancer is one of the common cancers among women and it causes significant
mortality in many developing countries. Diagnosis of cervical lesions is done using pap …
mortality in many developing countries. Diagnosis of cervical lesions is done using pap …
Integrating convolutional neural networks, kNN, and Bayesian optimization for efficient diagnosis of Alzheimer's disease in magnetic resonance images
S Lahmiri - Biomedical Signal Processing and Control, 2023 - Elsevier
Deep learning is attracting growing interest from biomedical engineering community.
Researchers and clinicians are also increasingly interested in development of machine …
Researchers and clinicians are also increasingly interested in development of machine …
[HTML][HTML] Improving prediction of cervical cancer using knn imputed smote features and multi-model ensemble learning approach
H Karamti, R Alharthi, AA Anizi, RM Alhebshi… - Cancers, 2023 - mdpi.com
Simple Summary This paper presents a cervical cancer detection approach where the KNN
Imputer techniques is used to fill the missing values and after that SMOTE upsampled …
Imputer techniques is used to fill the missing values and after that SMOTE upsampled …
Cervical cancer diagnosis using very deep networks over different activation functions
Cancer prevention is mainly achieved by screening the transformation zones. Cervical pre-
cancerous stages can be seen in three different types, and all can transform into cancer …
cancerous stages can be seen in three different types, and all can transform into cancer …
MLNet: metaheuristics-based lightweight deep learning network for cervical cancer diagnosis
One of the leading causes of cancer-related deaths among women is cervical cancer. Early
diagnosis and treatment can minimize the complications of this cancer. Recently …
diagnosis and treatment can minimize the complications of this cancer. Recently …
Cervical transformation zone segmentation and classification based on improved inception-resnet-v2 using colposcopy images
The second most frequent malignancy in women worldwide is cervical cancer. In the
transformation (transitional) zone, which is a region of the cervix, columnar cells are …
transformation (transitional) zone, which is a region of the cervix, columnar cells are …