A review on recent progress in thermal imaging and deep learning approaches for breast cancer detection
Developing a breast cancer screening method is very important to facilitate early breast
cancer detection and treatment. Building a screening method using medical imaging …
cancer detection and treatment. Building a screening method using medical imaging …
[HTML][HTML] Medical image based breast cancer diagnosis: State of the art and future directions
The intervention of medical imaging has significantly improved early diagnosis of breast
cancer. Different radiological and microscopic imaging modalities are frequently utilized by …
cancer. Different radiological and microscopic imaging modalities are frequently utilized by …
A CNN-based methodology for breast cancer diagnosis using thermal images
J Zuluaga-Gomez, Z Al Masry… - Computer Methods in …, 2021 - Taylor & Francis
ABSTRACT A recent study from GLOBOCAN disclosed that during 2018 two million women
worldwide had been diagnosed with breast cancer. Currently, mammography, magnetic …
worldwide had been diagnosed with breast cancer. Currently, mammography, magnetic …
Deep learning model for fully automated breast cancer detection system from thermograms
Breast cancer is one of the most common diseases among women worldwide. It is
considered one of the leading causes of death among women. Therefore, early detection is …
considered one of the leading causes of death among women. Therefore, early detection is …
[HTML][HTML] A deep learning approach for automatic detection, segmentation and classification of breast lesions from thermal images
Purpose This study investigates implementation of deep learning (DL) approaches to breast
tumor recognition based on thermal images. We propose to utilize Mask R-CNN technique …
tumor recognition based on thermal images. We propose to utilize Mask R-CNN technique …
A systematic review of breast cancer detection using thermography and neural networks
MAS Al Husaini, MH Habaebi, SA Hameed… - IEEE …, 2020 - ieeexplore.ieee.org
Breast cancer plays a significant role in affecting female mortality. Researchers are actively
seeking to develop early detection methods of breast cancer. Several technologies …
seeking to develop early detection methods of breast cancer. Several technologies …
Detection of Breast Cancer from Five‐View Thermal Images Using Convolutional Neural Networks
MJ Mammoottil, LJ Kulangara… - Journal of …, 2022 - Wiley Online Library
Breast cancer is one of the most common forms of cancer. Its aggressive nature coupled with
high mortality rates makes this cancer life‐threatening; hence early detection gives the …
high mortality rates makes this cancer life‐threatening; hence early detection gives the …
Screening of breast cancer from thermogram images by edge detection aided deep transfer learning model
Breast cancer, the most common invasive cancer, causes deaths of thousands of women in
the world every year. Early detection of the same is a remedy to lessen the death rate …
the world every year. Early detection of the same is a remedy to lessen the death rate …
Convolutional neural networks for breast cancer detection using regions of interest from infrared images
S Jha, MF Khalf, M Karthick - Tamjeed Journal of Healthcare …, 2023 - tamjeedpub.com
Breast cancer is the most common cancer among women in Iraq and worldwide. The
incidence in young women has been increasing over the years, and the gold standard test …
incidence in young women has been increasing over the years, and the gold standard test …
Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection
The coronavirus disease (COVID-19), is an ongoing global pandemic caused by severe
acute respiratory syndrome. Chest Computed Tomography (CT) is an effective method for …
acute respiratory syndrome. Chest Computed Tomography (CT) is an effective method for …