Artificial intelligence techniques in liver cancer
Hepatocellular Carcinoma (HCC), the most common primary liver cancer, is a significant
contributor to worldwide cancer-related deaths. Various medical imaging techniques …
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 …
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 …
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
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 …
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 …
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
Simple Summary Lymph node metastasis is a crucial factor in determining the treatment and
prognosis of patients with gynecologic malignancies. Traditionally, medical imaging …
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 …
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 …
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
This study addresses the problem of detecting pancreatic cancer by classifying computed
tomography (CT) images into cancerous and non‐cancerous classes using the proposed …
tomography (CT) images into cancerous and non‐cancerous classes using the proposed …
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques
Identifying peri-pancreatic edema is a pivotal indicator for identifying disease progression
and prognosis, emphasizing the critical need for accurate detection and assessment in …
and prognosis, emphasizing the critical need for accurate detection and assessment in …