A low computational approach for assistive esophageal adenocarcinoma and colorectal cancer detection

Z Yu, S Yang, K Zhou, A Aggoun - … : Contributions Presented at the 18th UK …, 2019 - Springer
In this paper, we aim to develop a low-computational system for real-time image processing
and analysis in endoscopy images for the early detection of the human esophageal …

Early esophageal cancer detection using RF classifiers

MHA Janse, F van der Sommen… - Medical imaging …, 2016 - spiedigitallibrary.org
Esophageal cancer is one of the fastest rising forms of cancer in the Western world. Using
High-Definition (HD) endoscopy, gastroenterology experts can identify esophageal cancer …

[HTML][HTML] Artificial intelligence in endoscopy: The challenges and future directions

X Gao, B Braden - Artificial Intelligence in Gastrointestinal Endoscopy, 2021 - wjgnet.com
Artificial intelligence based approaches, in particular deep learning, have achieved state-of-
the-art performance in medical fields with increasing number of software systems being …

[HTML][HTML] Role of artificial intelligence in the diagnosis of oesophageal neoplasia: 2020 an endoscopic odyssey

M Hussein, JGB Puyal, P Mountney… - World Journal of …, 2020 - ncbi.nlm.nih.gov
The past decade has seen significant advances in endoscopic imaging and optical
enhancements to aid early diagnosis. There is still a treatment gap due to the …

Early Esophageal Malignancy Detection Using Deep Transfer Learning and Explainable AI

P Shaw, S Sankaranarayanan… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Esophageal malignancy is a rare form of cancer that starts in the esophagus and spreads to
the other parts of the body, impacting a severe risk on the liver, lungs, lymph nodes, and …

[引用][C] Artificial intelligence for real-time detection of early esophageal cancer: another set of eyes to better visualize

SJ Thakkar, GS Kochhar - Gastrointestinal Endoscopy, 2020 - giejournal.org
There have been numerous technologic advances in upper endoscopy in recent years, with
an emphasis on early diagnostics. Still, the incidence of esophageal cancer has continued …

Automatic detection of early esophageal cancer with CNNS using transfer learning

S Van Riel, F Van Der Sommen… - 2018 25th IEEE …, 2018 - ieeexplore.ieee.org
The incidence of Esophageal Adenocarcinoma (EAC), a form of esophageal cancer, has
rapidly increased in recent years. Dysplastic tissue can be removed endoscopically at an …

[HTML][HTML] Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy

T De Lange, P Halvorsen, M Riegler - World journal of …, 2018 - ncbi.nlm.nih.gov
Assisted diagnosis using artificial intelligence has been a holy grail in medical research for
many years, and recent developments in computer hardware have enabled the narrower …

Supportive automatic annotation of early esophageal cancer using local gabor and color features

F Van Der Sommen, S Zinger, EJ Schoon… - Neurocomputing, 2014 - Elsevier
Over the past years High Definition (HD) endoscopy has become a crucial tool for the early
detection of esophageal cancer. The high resolution offers specialist physicians high-quality …

Early Esophageal Cancer detection using Deep learning Techniques.

NN Thamir, FG Mohammed - Journal of Physics: Conference …, 2021 - iopscience.iop.org
Esophageal cancer is one of the deadliest diseases for humans, since it is discovered in
very advanced stages. As result, pathologists are increasingly relying in image recognition …