Pancreatic cancer: pathogenesis, screening, diagnosis, and treatment

LD Wood, MI Canto, EM Jaffee, DM Simeone - Gastroenterology, 2022 - Elsevier
Pancreatic ductal adenocarcinoma (PDAC) is a clinically challenging cancer, due to both its
late stage at diagnosis and its resistance to chemotherapy. However, recent advances in our …

A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises

SK Zhou, H Greenspan, C Davatzikos… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Since its renaissance, deep learning has been widely used in various medical imaging tasks
and has achieved remarkable success in many medical imaging applications, thereby …

Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review

D Painuli, S Bhardwaj - Computers in Biology and Medicine, 2022 - Elsevier
Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …

[HTML][HTML] Artificial intelligence and early detection of pancreatic cancer: 2020 summative review

B Kenner, ST Chari, D Kelsen, DS Klimstra, SJ Pandol… - Pancreas, 2021 - journals.lww.com
Despite considerable research efforts, pancreatic cancer is associated with a dire prognosis
and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly …

Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation

KL Liu, T Wu, PT Chen, YM Tsai, H Roth… - The Lancet Digital …, 2020 - thelancet.com
Background The diagnostic performance of CT for pancreatic cancer is interpreter-
dependent, and approximately 40% of tumours smaller than 2 cm evade detection …

Radiomics improves cancer screening and early detection

RJ Gillies, MB Schabath - Cancer Epidemiology, Biomarkers & Prevention, 2020 - AACR
Imaging is a key technology in the early detection of cancers, including X-ray
mammography, low-dose CT for lung cancer, or optical imaging for skin, esophageal, or …

Integrating a microRNA signature as a liquid biopsy-based tool for the early diagnosis and prediction of potential therapeutic targets in pancreatic cancer

W Shi, T Wartmann, S Accuffi, S Al-Madhi… - British Journal of …, 2024 - nature.com
Introduction Pancreatic cancer is a highly aggressive cancer, and early diagnosis
significantly improves patient prognosis due to the early implementation of curative-intent …

Using quantitative imaging for personalized medicine in pancreatic cancer: a review of radiomics and deep learning applications

K Preuss, N Thach, X Liang, M Baine, J Chen, C Zhang… - Cancers, 2022 - mdpi.com
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 …

Devil is in the queries: advancing mask transformers for real-world medical image segmentation and out-of-distribution localization

M Yuan, Y Xia, H Dong, Z Chen, J Yao… - Proceedings of the …, 2023 - openaccess.thecvf.com
Real-world medical image segmentation has tremendous long-tailed complexity of objects,
among which tail conditions correlate with relatively rare diseases and are clinically …

Artificial intelligence-driven diagnosis of pancreatic cancer

BS Hameed, UM Krishnan - Cancers, 2022 - mdpi.com
Simple Summary Pancreatic cancer poses a grave threat to mankind, due to its poor
prognosis and aggressive nature. An accurate diagnosis is critical for implementing a …