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[HTML][HTML] Breast cancer diagnosis: A systematic review
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 …
early diagnosis is essential. With the rapid development of artificial intelligence, computer …
Multi-input deep learning approach for breast cancer screening using thermal infrared imaging and clinical data
Breast cancer is one of the most prevalent causes of death among women across the globe.
Early detection is the best strategy for reducing the mortality rate. Currently, mammography …
Early detection is the best strategy for reducing the mortality rate. Currently, mammography …
A Review on Thermal Imaging‐Based Breast Cancer Detection Using Deep Learning
D Tsietso, A Yahya… - Mobile Information Systems, 2022 - Wiley Online Library
Breast cancer is the most common form of cancer in women. Its aggressive nature has made
it one of the chief factors of high female mortality. Therefore, this has motivated research to …
it one of the chief factors of high female mortality. Therefore, this has motivated research to …
Early detection of diabetic foot ulcers from thermal images using the bag of features technique
MH Alshayeji, SCB Sindhu - Biomedical Signal Processing and Control, 2023 - Elsevier
The most common diabetes complication, diabetic foot ulcer (DFU), can result in amputation
if not managed effectively. Early diagnosis is thus critical, yet DFU symptoms cannot be …
if not managed effectively. Early diagnosis is thus critical, yet DFU symptoms cannot be …
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 …
medicine. In this context, the use of advanced methods such as deep complex neural …
Rapid measurement of brown tide algae using Zernike moments and ensemble learning based on excitation-emission matrix fluorescence
Y Chen, T Chen, W Duan, J Liu, Y Si, Z Dong - Spectrochimica Acta Part A …, 2023 - Elsevier
Accurate real-time prediction of microalgae density has great practical significance for taking
countermeasures before the advent of Harmful algal blooms (HABs), and the non …
countermeasures before the advent of Harmful algal blooms (HABs), and the non …
A fusion of centrality and correlation for feature selection
P Qiu, C Zhang, D Gao, Z Niu - Expert Systems with Applications, 2024 - Elsevier
The rapid development of computer and database technologies has led to the high growth of
large-scale datasets. This produces an important issue for data mining applications called …
large-scale datasets. This produces an important issue for data mining applications called …
[PDF][PDF] Hybrid Statistical and Texture Features with DenseNet 121 for Breast Cancer Classification.
Cancers are aggressive which is coupled with higher mortality rates and remain a major life-
threatening factor in humans. Thus, early detection of cancer among patients is important as …
threatening factor in humans. Thus, early detection of cancer among patients is important as …
The MOEO algorithm for multi-objective optimization of the cancer immuno-chemotherapy
In cancer treatment, chemotherapy has the disadvantage of killing both healthy and
cancerous cells. Hence, the mixed-treatment of cancer such as chemo-immunotherapy is …
cancerous cells. Hence, the mixed-treatment of cancer such as chemo-immunotherapy is …
Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013-2024)
Infrared thermography (IRT) is a non-invasive, radiation-free imaging technique that uses an
infrared (IR) camera to record and produce an image using IR radiation emitted from the …
infrared (IR) camera to record and produce an image using IR radiation emitted from the …