Artificial intelligence in medical imaging for cholangiocarcinoma diagnosis: A systematic review with scientometric analysis
B Njei, US Kanmounye, N Seto… - Journal of …, 2023 - Wiley Online Library
Introduction Artificial intelligence (AI), by means of computer vision in machine learning, is a
promising tool for cholangiocarcinoma (CCA) diagnosis. The aim of this study was to provide …
promising tool for cholangiocarcinoma (CCA) diagnosis. The aim of this study was to provide …
Research related to the diagnosis of prostate cancer based on machine learning medical images: A review
X Chen, X Liu, Y Wu, Z Wang, SH Wang - International journal of medical …, 2024 - Elsevier
Background Prostate cancer is currently the second most prevalent cancer among men.
Accurate diagnosis of prostate cancer can provide effective treatment for patients and greatly …
Accurate diagnosis of prostate cancer can provide effective treatment for patients and greatly …
[HTML][HTML] Artificial Intelligence for Prediction of Metastasis Risk and Survival
N Zahmatkesh, SS Babaei, SH Manesh, M Abbaspour… - Kindle, 2024 - preferpub.org
Artificial Intelligence (AI) has emerged as a transformative tool in predicting metastasis risk
and survival outcomes in cancer care. Traditional methods for assessing cancer progression …
and survival outcomes in cancer care. Traditional methods for assessing cancer progression …
Detection of fractional difference in inter vertebral disk MRI images for recognition of low back pain
Abstract Low Back Pain (LBP) diagnosis through MR images of IVDs is a challenging task
due to complex spinal anatomy and varying image quality. These factors make it difficult to …
due to complex spinal anatomy and varying image quality. These factors make it difficult to …
Upregulation of circ_0059961 suppresses cholangiocarcinoma development by modulating miR-629-5p/SFRP2 axis
X Zhang, Y Zhao, W Wang, S Yu, L Liu, D Sun… - … -Research and Practice, 2022 - Elsevier
Background Cholangiocarcinoma (CCA) is a dangerous malignancy with a poor prognosis
due to inefficient chemotherapy and surgery, and its pathophysiology could be linked to …
due to inefficient chemotherapy and surgery, and its pathophysiology could be linked to …
Advancements of artificial intelligence in liver-associated diseases and surgery
A Taha, V Ochs, LN Kayhan, B Enodien, DM Frey… - Medicina, 2022 - mdpi.com
Background and Objectives: The advancement of artificial intelligence (AI) based
technologies in medicine is progressing rapidly, but the majority of its real-world applications …
technologies in medicine is progressing rapidly, but the majority of its real-world applications …
Applications of artificial intelligence in biliary tract cancers
Biliary tract cancers are malignant neoplasms arising from bile duct epithelial cells. They
include cholangiocarcinomas and gallbladder cancer. Gallbladder cancer has a marked …
include cholangiocarcinomas and gallbladder cancer. Gallbladder cancer has a marked …
Med-Former: A Transformer Based Architecture for Medical Image Classification
GJ Chowdary, Z Yin - … Conference on Medical Image Computing and …, 2024 - Springer
In recent years, transformer-based image classification methods have demonstrated
remarkable effectiveness across various image classification tasks. However, their …
remarkable effectiveness across various image classification tasks. However, their …
[HTML][HTML] Artificial Intelligence and Radiomics in Cholangiocarcinoma: A Comprehensive Review
M Zerunian, T Polidori, F Palmeri, S Nardacci… - Diagnostics, 2025 - mdpi.com
Cholangiocarcinoma (CCA) is a malignant biliary system tumor and the second most
common primary hepatic neoplasm, following hepatocellular carcinoma. CCA still has an …
common primary hepatic neoplasm, following hepatocellular carcinoma. CCA still has an …
A fuzzy evaluation approach to determine superiority of deep learning network system in terms of recognition capability: case study of lung cancer imaging
TC Chang - Annals of Operations Research, 2023 - Springer
Artificial intelligence (AI) assists in decision-making across various fields and industries.
Diverse market needs have prompted the rapid evolution of AI learning algorithms. Deep …
Diverse market needs have prompted the rapid evolution of AI learning algorithms. Deep …