Artificial intelligence and deep learning for upper gastrointestinal neoplasia

P Sharma, C Hassan - Gastroenterology, 2022 - Elsevier
Upper gastrointestinal (GI) neoplasia account for 35% of GI cancers and 1.5 million cancer-
related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic …

Development and validation of an artificial intelligence model for small bowel capsule endoscopy video review

X Xie, YF Xiao, XY Zhao, JJ Li, QQ Yang… - JAMA Network …, 2022 - jamanetwork.com
Importance Reading small bowel capsule endoscopy (SBCE) videos is a tedious task for
clinicians, and a new method should be applied to solve the situation. Objectives To develop …

[PDF][PDF] Development of an Optimized Deep Learning Model for Medical Imaging.

YJ Kim, KG Kim - Journal of the Korean Society of …, 2020 - pdfs.semanticscholar.org
Deep learning has recently become one of the most actively researched technologies in the
field of medical imaging. The availability of sufficient data and the latest advances in …

A hybrid network based on GAN and CNN for food segmentation and calorie estimation

R Jaswanthi, E Amruthatulasi… - … Computing and Data …, 2022 - ieeexplore.ieee.org
Calories play an essential role in health aspects that lead to diseases like coronary heart
disease, liver disease, cancer, and cholesterol. A study from 2020 reported that globally …

[HTML][HTML] Artificial intelligence, capsule endoscopy, databases, and the Sword of Damocles

X Dray, E Toth, T de Lange… - Endoscopy …, 2021 - thieme-connect.com
We read with interest the editorial by Hassan et al [1] entitled “AI everywhere in endoscopy,
not only for detection and characterization,” prompted by the recent paper of Hansen et al …

[HTML][HTML] Rapid development of accurate artificial intelligence scoring for colitis disease activity using applied data science techniques

M Patel, S Gulati, F Iqbal… - Endoscopy International …, 2022 - thieme-connect.com
Background and study aims Scoring endoscopic disease activity in colitis represents a
complex task for artificial intelligence (AI), but is seen as a worthwhile goal for clinical and …

[HTML][HTML] Annotation Tools in Gastrointestinal Polyp Annotation

O Selnes, T Bjørsum-Meyer, A Histace, G Baatrup… - Diagnostics, 2022 - mdpi.com
Capsule endoscopy (CE) is a valid alternative to conventional gastrointestinal (GI)
endoscopy tools. In CE, annotation tools are crucial in developing large and annotated …

CNN-based real-time prediction of growth stage in soybeans cultivated in hydroponic set-ups

SB Dhal, S Mahanta, KC Gadepally, S He… - SoutheastCon …, 2023 - ieeexplore.ieee.org
The purpose of this research is to create a deep learning model capable of predicting the
day of harvest for soybeans growing in hydroponic conditions. The algorithm uses feature …

Survey on the perceptions of UK gastroenterologists and endoscopists to artificial intelligence

R Kader, RF Baggaley, M Hussein, OF Ahmad… - Frontline …, 2022 - fg.bmj.com
Background and aims With the potential integration of artificial intelligence (AI) into clinical
practice, it is essential to understand end users' perception of this novel technology. The aim …

3D Annotation Of Arbitrary Objects In The Wild

K Blomqvist, J Hietala - arXiv preprint arXiv:2109.07165, 2021 - arxiv.org
Recent years have produced a variety of learning based methods in the context of computer
vision and robotics. Most of the recently proposed methods are based on deep learning …