A Review of the State of the Art in Non-Contact Sensing for COVID-19

W Taylor, QH Abbasi, K Dashtipour, S Ansari, SA Shah… - Sensors, 2020 - mdpi.com
COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no
approved vaccination or treatment, governments around the world have issued guidance to …

An extensive review on emerging advancements in thermography and convolutional neural networks for breast cancer detection

J Iyadurai, M Chandrasekharan, S Muthusamy… - Wireless Personal …, 2024 - Springer
Breast cancer remains a significant health concern, necessitating early and accurate
detection methods to reduce mortality rates. This review examines the use of thermography …

Non-contact monitoring and classification of breathing pattern for the supervision of people infected by COVID-19

AT Purnomo, DB Lin, T Adiprabowo, WF Hendria - Sensors, 2021 - mdpi.com
During the pandemic of coronavirus disease-2019 (COVID-19), medical practitioners need
non-contact devices to reduce the risk of spreading the virus. People with COVID-19 usually …

Breast cancer detection from thermal images using a Grunwald-Letnikov-aided Dragonfly algorithm-based deep feature selection method

S Chatterjee, S Biswas, A Majee, S Sen, D Oliva… - Computers in Biology …, 2022 - Elsevier
Breast cancer is one of the deadliest diseases in women and its incidence is growing at an
alarming rate. However, early detection of this disease can be life-saving. The rapid …

Screening of breast cancer from thermogram images by edge detection aided deep transfer learning model

S Dey, R Roychoudhury, S Malakar… - Multimedia Tools and …, 2022 - Springer
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 …

Combining genetic algorithms and SVM for breast cancer diagnosis using infrared thermography

R Resmini, L Silva, AS Araujo, P Medeiros… - Sensors, 2021 - mdpi.com
Breast cancer is one of the leading causes of mortality globally, but early diagnosis and
treatment can increase the cancer survival rate. In this context, thermography is a suitable …

[HTML][HTML] A hybrid methodology for breast screening and cancer diagnosis using thermography

R Resmini, LF da Silva, PRT Medeiros… - Computers in Biology …, 2021 - Elsevier
Breast cancer is the second most common cancer in the world. Early diagnosis and
treatment increase the patient's chances of healing. The temperature of cancerous tissues is …

[HTML][HTML] Spectral–spatial features integrated convolution neural network for breast cancer classification

HK Mewada, AV Patel, M Hassaballah, MH Alkinani… - Sensors, 2020 - mdpi.com
Cancer identification and classification from histopathological images of the breast depends
greatly on experts, and computer-aided diagnosis can play an important role in …

Comparison of machine learning algorithms used for skin cancer diagnosis

M Bistroń, Z Piotrowski - Applied Sciences, 2022 - mdpi.com
The paper presents a comparison of automatic skin cancer diagnosis algorithms based on
analyses of skin lesions photos. Two approaches are presented: the first one is based on the …

Advances in thermal image analysis for the detection of pregnancy in horses using infrared thermography

M Domino, M Borowska, N Kozłowska, Ł Zdrojkowski… - Sensors, 2021 - mdpi.com
Infrared thermography (IRT) was applied as a potentially useful tool in the detection of
pregnancy in equids, especially native or wildlife. IRT measures heat emission from the …