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Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study

Joost van der Putten, Jeroen de Groof, Maarten Struyvenberg, Tim Boers, Kiki Fockens, Wouter Curvers, Erik Schoon, Jacques Bergman, Fons van der Sommen, Peter H.N. de With
2020 Artificial Intelligence in Medicine  
Furthermore, the live pilot study shows great performance in a clinical setting with a patient level accuracy, sensitivity, and specificity of 90%.  ...  Patients suffering from Barrett's Esophagus (BE) are at an increased risk of developing esophageal adenocarcinoma and early detection is crucial for a good prognosis.  ...  state-of-the-art results for the detection and localization of dysplasia in Barrett's Esophagus.  ... 
doi:10.1016/j.artmed.2020.101914 pmid:32828453 fatcat:kawapfcisfdejc67ofvcxkske4

The Impact of Artificial Intelligence in the Endoscopic Assessment of Premalignant and Malignant Esophageal Lesions: Present and Future

Daniela Cornelia Lazăr, Mihaela Flavia Avram, Alexandra Corina Faur, Adrian Goldiş, Ioan Romoşan, Sorina Tăban, Mărioara Cornianu
2020 Medicina  
This study makes a presentation of the artificial intelligence terminology and refers also to the most prominent recent research on computer-assisted diagnosis of neoplasia on Barrett's esophagus and early  ...  In the gastroenterology field, the impact of artificial intelligence was investigated for the purposes of diagnostics, risk stratification of patients, improvement in quality of endoscopic procedures and  ...  Numerous studies have been performed, using AI to improve the detection of early neoplasia developed on the background of Barrett's esophagus [8, 9] and early esophageal squamous cell carcinoma [10]  ... 
doi:10.3390/medicina56070364 pmid:32708343 fatcat:kp67to5sdfd6tox742id2yogj4

Deep Learning Approaches to Colorectal Cancer Diagnosis: A Review

Lakpa Dorje Tamang, Byung Wook Kim
2021 Applied Sciences  
with different types of state-of-the-art DL algorithms for detecting malignancies.  ...  Overall, we provide a retrospective synopsis of simple image-processing-based and machine learning (ML)-based computer-aided diagnosis (CAD) systems, followed by a comprehensive appraisal of use cases  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app112210982 fatcat:udy5u4yeerhgfoh2cyosejasnm

The role of computer-assisted systems for upper-endoscopy quality monitoring and assessment of gastric lesions

Daniela Cornelia Lazăr, Mihaela Flavia Avram, Alexandra Corina Faur, Ioan Romoşan, Adrian Goldiş
2021 Gastroenterology Report  
Current data show promising results in upper-endoscopy quality control and a satisfactory detection accuracy of gastric premalignant and malignant lesions, similar or even exceeding that of experienced  ...  In so doing, unnecessary surgical interventions would be avoided whilst providing a better quality of life and prognosis for these patients.  ...  Conflicts of interest None declared.  ... 
doi:10.1093/gastro/goab008 fatcat:bocifonnyvhh7luk42ghh4tv4m

Abstracts from USCAP 2020: Informatics (1522-1590)

2020 Laboratory Investigation  
The display (monitor) is an integral part of the digital pathology (DP) workflow, with DP vendors required to include a specific display as part of FDA validation studies.  ...  Background: Whole-slide images (WSI) hold tremendous potential for improving clinical care, research, and medical education.  ...  Conclusions: We demonstrate the feasibility of applying a DIA workflow for estimating stromal CD8+ TILs in NSCLC.  ... 
doi:10.1038/s41374-020-0393-8 pmid:32139865 fatcat:wecibsafmzhzjjgxqvxalr3xn4