Artificial intelligence techniques in liver cancer

L Wang, M Fatemi, A Alizad - Frontiers in Oncology, 2024 - pmc.ncbi.nlm.nih.gov
Hepatocellular Carcinoma (HCC), the most common primary liver cancer, is a significant
contributor to worldwide cancer-related deaths. Various medical imaging techniques …

Aspects and outcomes of surveillance for individuals at high-risk of pancreatic cancer

AM Bogdanski, JE van Hooft, B Boekestijn, BA Bonsing… - Familial Cancer, 2024 - Springer
Pancreatic ductal adenocarcinoma (PDAC) is a leading cause of cancer-related deaths and
is associated with a poor prognosis. The majority of these cancers are detected at a late …

[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 …

From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer

S Tripathi, A Tabari, A Mansur, H Dabbara, CP Bridge… - Diagnostics, 2024 - mdpi.com
Pancreatic cancer is a highly aggressive and difficult-to-detect cancer with a poor prognosis.
Late diagnosis is common due to a lack of early symptoms, specific markers, and the …

Pancreatic Ductal Adenocarcinoma: Update of CT-Based Radiomics Applications in the Pre-Surgical Prediction of the Risk of Post-Operative Fistula, Resectability …

G Pacella, MC Brunese, E D'Imperio… - Journal of Clinical …, 2023 - mdpi.com
Background: Pancreatic ductal adenocarcinoma (PDAC) is the seventh leading cause of
cancer-related deaths worldwide. Surgical resection is the main driver to improving survival …

Enhancing the Accuracy of Lymph-Node-Metastasis Prediction in Gynecologic Malignancies Using Multimodal Federated Learning: Integrating CT, MRI, and PET/CT

Z Hu, L Ma, Y Ding, X Zhao, X Shi, H Lu, K Liu - Cancers, 2023 - mdpi.com
Simple Summary Lymph node metastasis is a crucial factor in determining the treatment and
prognosis of patients with gynecologic malignancies. Traditionally, medical imaging …

Risk Assessment and Radiomics Analysis in Magnetic Resonance Imaging of Pancreatic Intraductal Papillary Mucinous Neoplasms (IPMN)

F Flammia, R Fusco, S Triggiani, G Pellegrino… - Cancer …, 2024 - journals.sagepub.com
Intraductal papillary mucinous neoplasms (IPMNs) are a very common incidental finding
during patient radiological assessment. These lesions may progress from low-grade …

Unmasking pancreatic cancer: Advanced biomedical imaging for its detection in native versus arterial dual‐energy computed tomography (DECT) scans

J Gotta, LD Gruenewald, SS Martin… - … Journal of Imaging …, 2024 - Wiley Online Library
This study investigates the potential of a machine learning classifier using dual‐energy
computed tomography (DECT) radiomics to differentiate between malignant pancreatic …

Deep learning‐based aggregate analysis to identify cut‐off points for decision‐making in pancreatic cancer detection

G Dzemyda, O Kurasova, V Medvedev… - Expert …, 2024 - Wiley Online Library
This study addresses the problem of detecting pancreatic cancer by classifying computed
tomography (CT) images into cancerous and non‐cancerous classes using the proposed …

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques

Z Hong, D Jha, K Biswas, Z Zhang, Y Velichko… - arXiv preprint arXiv …, 2024 - arxiv.org
Identifying peri-pancreatic edema is a pivotal indicator for identifying disease progression
and prognosis, emphasizing the critical need for accurate detection and assessment in …