An Approach For Cervical and Breast Cancer Classification Using Deep Learning: A Comprehensive Survey-Reference-Cited by-同舟云学术

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An Approach For Cervical and Breast Cancer Classification Using Deep Learning: A Comprehensive Survey

Published:2023-01-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Computer Communication and Informatics (ICCCI)
language:
Short-container-title:

Author:

Ghantasala G S Pradeep¹,Hung Bui Thanh²,Chakrabarti Prasun³

Affiliation:

1. Chitkara University Institute of Engineering and Technology Chitkara University, India And AI Lab, Ton Duc Thang University,Vietnam

2. Ton Duc Thang University,Director of Artificial Intelligence Laboratory, Faculty of Information Technology,Vietnam

3. ITM SLS Baroda University,Deputy Provost,Gujarat,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10128170/10128171/10128454.pdf?arnumber=10128454

Reference43 articles.

1. The challenges of colposcopy for cervical cancer screening in LMICs and solutions by artificial intelligence

2. Experiences of cervical screening and barriers to participation in the context of an organised programme: a systematic review and thematic synthesis;chorley;Psycho-Oncology,2017

3. Radiomics in breast cancer classification and prediction

4. Using social norms theory for health promotion in low-income countries

5. Guiding ultrasound image capture with artificial intelligence

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1. Predictive Modeling of Breast Cancer Outcomes Using Supervised Machine Learning Algorithms;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-08-15

2. Synthesis and antiproliferative evaluation of novel 3,5,8-trisubstituted coumarins against breast cancer;Future Medicinal Chemistry;2024-05-06

3. A Brief Comparative Study of Metaheuristic Approaches for Hyperparameter Optimization of Machine Learning Model;2023 International Conference on Computer Science and Emerging Technologies (CSET);2023-10-10

4. An Investigation of Transfer Learning Approaches to Overcome Limited Labeled Data in Medical Image Analysis;Applied Sciences;2023-07-27

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