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Application of artificial intelligence in cancer diagnosis and tumor nanomedicine
J Wang, G Liu, C Zhou, X Cui, W Wang, J Wang… - Nanoscale, 2024 - pubs.rsc.org
Cancer is a major health concern due to its high incidence and mortality rates. Advances in
cancer research, particularly in artificial intelligence (AI) and deep learning, have shown …
cancer research, particularly in artificial intelligence (AI) and deep learning, have shown …
Deep learning applications in breast cancer histopathological imaging: diagnosis, treatment, and prognosis
B Jiang, L Bao, S He, X Chen, Z **, Y Ye - Breast Cancer Research, 2024 - Springer
Breast cancer is the most common malignant tumor among women worldwide and remains
one of the leading causes of death among women. Its incidence and mortality rates are …
one of the leading causes of death among women. Its incidence and mortality rates are …
[HTML][HTML] AI Chatbots and Telemedicine in Cancer Care: Supporting Patients and Enhancing Communications
AI chatbots and telemedicine are revolutionizing cancer care by providing support to
patients and enhancing communication between them and their healthcare providers. AI …
patients and enhancing communication between them and their healthcare providers. AI …
[HTML][HTML] AI-Enhanced Virtual Clinics and Telemedicine for Cancer Treatment
H Amiri, M Ghaneiyan, P Farjami, H Mehran… - Kindle, 2024 - preferpub.org
AI-enhanced virtual clinics and telemedicine are transforming cancer treatment by improving
access to care, diagnostic precision, and personalized treatment options. For patients …
access to care, diagnostic precision, and personalized treatment options. For patients …
[HTML][HTML] Artificial Intelligence and Deep Learning for Screening and Risk Assessment of Cancers
M Farrokhi, SJ Khouzani, M Farrokhi, H Jalayeri… - Kindle, 2024 - preferpub.org
Abstract Artificial Intelligence (AI) and Deep Learning have emerged as revolutionary tools
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …
Eh-former: Regional easy-hard-aware transformer for breast lesion segmentation in ultrasound images
Breast lesion segmentation of ultrasound images plays a crucial role in early screening and
diagnosis of breast lesions. However, accurately segmenting lesions in breast ultrasound …
diagnosis of breast lesions. However, accurately segmenting lesions in breast ultrasound …
Enhancing breast cancer diagnosis accuracy through genetic algorithm-optimized multilayer perceptron
H Talebzadeh, M Talebzadeh, M Satarpour… - … Experiments and Design, 2024 - Springer
This research paper investigates the application of a genetic algorithm (GA) to optimize the
performance of a Multilayer Perceptron (MLP) model for breast cancer diagnosis. Various …
performance of a Multilayer Perceptron (MLP) model for breast cancer diagnosis. Various …
The Smart Performance Comparison of AI-based Breast Cancer Detection Models
The smart performance comparison of AI-based breast cancer detection models is an
important research topic in the healthcare industry. It is used to compare and evaluate …
important research topic in the healthcare industry. It is used to compare and evaluate …
[HTML][HTML] An advanced machine learning model for a web-based artificial intelligence–based clinical decision support system application: Model development and …
TH Lin, HY Chung, MJ Jian, CK Chang… - Journal of Medical …, 2024 - jmir.org
Background Breast cancer is a leading global health concern, necessitating advancements
in recurrence prediction and management. The development of an artificial intelligence (AI) …
in recurrence prediction and management. The development of an artificial intelligence (AI) …
Prototype learning guided hybrid network for breast tumor segmentation in dce-mri
Automated breast tumor segmentation on the basis of dynamic contrast-enhancement
magnetic resonance imaging (DCE-MRI) has shown great promise in clinical practice …
magnetic resonance imaging (DCE-MRI) has shown great promise in clinical practice …