Deep Learning Based Model for Multi-class Classification of Cervical Cells Using Pap Smear Images

Author:

Nayar Sanjana1,Vinitha Panicker J1,Nair Jyothisha J1

Affiliation:

1. Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Amritapuri,India

Publisher

IEEE

Reference17 articles.

1. Applied Informatics

2. Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer

3. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 Volume 9901 —— Multimodal Deep Learning for Cervical Dys-plasia Diagnosis;ourselin,2016

4. Efficientnet: Rethinking model scaling for convolutional neural networks;tan;International Conference on Machine Learning 2019,0

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1. DETECTION OF CERVICAL CANCER FROM UTERINE CERVIX IMAGES USING TRANSFER LEARNING ARCHITECTURES;Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering;2024-06-28

2. Deep Learning Approach for Automated Data Augmentation and Multi-class Classification of Pap Smear Images;Procedia Computer Science;2024

3. Nucleus detection using bradley algorithm modification on pap smear cell image;AIP Conference Proceedings;2024

4. Smart Healthcare IoT: Deep Learning-Driven Patient Monitoring and Diagnosis;2023 9th International Conference on Smart Structures and Systems (ICSSS);2023-11-23

5. Self-attention based ResNet model for Cervical Cancer Detection;2023 Second International Conference on Informatics (ICI);2023-11-23

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