[HTML][HTML] Artificial intelligence in pancreatic cancer
B Huang, H Huang, S Zhang, D Zhang, Q Shi, J Liu… - Theranostics, 2022 - ncbi.nlm.nih.gov
Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%.
The pancreatic cancer patients diagnosed with early screening have a median overall …
The pancreatic cancer patients diagnosed with early screening have a median overall …
Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics
Purpose The aim of this systematic review was to analyse literature on artificial intelligence
(AI) and radiomics, including all medical imaging modalities, for oncological and non …
(AI) and radiomics, including all medical imaging modalities, for oncological and non …
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Semantic segmentation of medical images aims to associate a pixel with a label in a medical
image without human initialization. The success of semantic segmentation algorithms is …
image without human initialization. The success of semantic segmentation algorithms is …
[HTML][HTML] Artificial intelligence in gastroenterology: A state-of-the-art review
PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …
with clinical applications progressively being explored for most of the medical specialties …
[HTML][HTML] Fully end-to-end deep-learning-based diagnosis of pancreatic tumors
Artificial intelligence can facilitate clinical decision making by considering massive amounts
of medical imaging data. Various algorithms have been implemented for different clinical …
of medical imaging data. Various algorithms have been implemented for different clinical …
Using quantitative imaging for personalized medicine in pancreatic cancer: a review of radiomics and deep learning applications
Simple Summary With a five-year survival rate of only 3% for the majority of patients,
pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel …
pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel …
Pancreas image mining: a systematic review of radiomics
Objectives To systematically review published studies on the use of radiomics of the
pancreas. Methods The search was conducted in the MEDLINE database. Human studies …
pancreas. Methods The search was conducted in the MEDLINE database. Human studies …
[HTML][HTML] Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features
Purpose The purpose of this study was to determine whether computed tomography (CT)-
based machine learning of radiomics features could help distinguish autoimmune …
based machine learning of radiomics features could help distinguish autoimmune …
Computed tomography-based radiomics approach in pancreatic tumors characterization
G Karmazanovsky, I Gruzdev, V Tikhonova… - La radiologia …, 2021 - Springer
Radiomics (or texture analysis) is a new imaging analysis technique that allows calculating
the distribution of texture features of pixel and voxel values depend on the type of ROI (3D or …
the distribution of texture features of pixel and voxel values depend on the type of ROI (3D or …
Radiomics in stratification of pancreatic cystic lesions: Machine learning in action
Pancreatic cystic lesions (PCLs) are well-known precursors of pancreatic cancer. Their
diagnosis can be challenging as their behavior varies from benign to malignant disease …
diagnosis can be challenging as their behavior varies from benign to malignant disease …