Efficient infrared image processing and machine learning algorithm for breast cancer screening
Author:
Affiliation:
1. ICT & Services Group, Centre for Development of Advanced Computing, Kolkata, India
2. Department of Instrumentation and Electronics, Jadavpur University, Kolkata, India
Funder
Ministry of Electronics and Information technology
Publisher
Informa UK Limited
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics
Link
https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2225639
Reference18 articles.
1. A modified reptile search algorithm for global optimization and image segmentation: Case study brain MRI images
2. Breast cancer detection from thermal images using bispectral invariant features
3. Etehadtavakol M Ng EYK. 2017. Color segmentation of breast thermograms: a comparative study. 69–77.
4. Application of K- and Fuzzy c-Means for Color Segmentation of Thermal Infrared Breast Images
5. Supportive Noninvasive Tool for the Diagnosis of Breast Cancer Using a Thermographic Camera as Sensor
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Advancements in Breast Cancer Detection: A Holistic Evaluation of Deep Learning Models with Histology and Thermal Imaging Datasets;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24
2. Clinical Thermography for Breast Cancer Screening: A Systematic Review on Image Acquisition, Segmentation, and Classification;IETE Technical Review;2023-07-24
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