[HTML][HTML] Breast cancer diagnosis: A systematic review

X Wen, X Guo, S Wang, Z Lu, Y Zhang - Biocybernetics and Biomedical …, 2024 - Elsevier
The second-leading cause of death for women is breast cancer. Consequently, a precise
early diagnosis is essential. With the rapid development of artificial intelligence, computer …

Breast cancer classification on thermograms using deep CNN and transformers

E Mahoro, MA Akhloufi - Quantitative InfraRed Thermography …, 2024 - Taylor & Francis
Breast thermography is a screening approach for breast cancer detection by measuring the
breast skin temperature. Breast cancer is the most common cancer among women and can …

[Retracted] Cancer Detection and Prediction Using Genetic Algorithms

A Bhandari, BK Tripathy, K Jawad… - Computational …, 2022 - Wiley Online Library
Cancer is a wide category of diseases that is caused by the abnormal, uncontrollable growth
of cells, and it is the second leading cause of death globally. Screening, early diagnosis, and …

[HTML][HTML] Machine learning analysis of RNA-seq data for diagnostic and prognostic prediction of colon cancer

E Bostanci, E Kocak, M Unal, MS Guzel, K Acici… - Sensors, 2023 - mdpi.com
Data from omics studies have been used for prediction and classification of various diseases
in biomedical and bioinformatics research. In recent years, Machine Learning (ML) …

Multiscale analysis domain interpretable deep neural network for detection of breast cancer using thermogram images

A Gade, DK Dash, TM Kumari… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Breast cancer is the most prevalent cancer among women, with a high mortality rate. The
early detection of breast cancer using medical imaging techniques helps reduce the number …

[HTML][HTML] 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 …

[HTML][HTML] A machine learning approach for walking classification in elderly people with gait disorders

A Peimankar, TS Winther, A Ebrahimi, UK Wiil - Sensors, 2023 - mdpi.com
Walking ability of elderly individuals, who suffer from walking difficulties, is limited, which
restricts their mobility independence. The physical health and well-being of the elderly …

Machine learning algorithms and biomarkers identification for pancreatic cancer diagnosis using multi-omics data integration

AK Rouzbahani, G Khalili-Tanha, Y Rajabloo… - … -Research and Practice, 2024 - Elsevier
Purpose Pancreatic cancer is a lethal type of cancer with most of the cases being diagnosed
in an advanced stage and poor prognosis. Developing new diagnostic and prognostic …

Cancer detection in breast cells using a hybrid method based on deep complex neural network and data mining

L Yang, S Peng, RO Yahya, L Qian - Journal of Cancer Research and …, 2023 - Springer
Introduction Diagnosis of cancer in breast cells is an important and vital issue in the field of
medicine. In this context, the use of advanced methods such as deep complex neural …

[HTML][HTML] The effect of rider: horse bodyweight ratio on the superficial body temperature of horse's thoracolumbar region evaluated by advanced thermal image …

M Domino, M Borowska, A Trojakowska, N Kozłowska… - Animals, 2022 - mdpi.com
Simple Summary Overloading of the horse's thoracolumbar region is a serious problem
mainly affecting sport and school horses during their daily under-saddle work. As the human …