Follow-up on: optimizing lesion detection in small bowel capsule endoscopy and beyond: from present problems to future solutions
M Vasilakakis, A Koulaouzidis, DE Yung… - Expert review of …, 2019 - Taylor & Francis
Introduction: This review presents noteworthy advances in clinical and experimental
Capsule Endoscopy (CE), focusing on the progress that has been reported over the last 5 …
Capsule Endoscopy (CE), focusing on the progress that has been reported over the last 5 …
The future of capsule endoscopy in clinical practice: from diagnostic to therapeutic experimental prototype capsules
Capsule endoscopy (CE) is indicated as a first-line clinical examination for the detection of
small-bowel pathology, and there is an ever-growing drive for it to become a method for the …
small-bowel pathology, and there is an ever-growing drive for it to become a method for the …
Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network
Abstract Convolutional Neural Networks (CNNs) are widely adopted in the automatic
analysis of abnormalities in medical imaging applications. Although CNN structures are …
analysis of abnormalities in medical imaging applications. Although CNN structures are …
Weakly supervised multilabel classification for semantic interpretation of endoscopy video frames
Several studies have addressed the problem of abnormality detection in medical images
using computer-based systems. The impact of such systems in clinical practice and in the …
using computer-based systems. The impact of such systems in clinical practice and in the …
[PDF][PDF] Computational signal analysis methods for information extraction with applications in biomedicine
ΜΔ Βασιλακάκης - 2020 - ir.lib.uth.gr
This doctoral thesis explores computational approaches for signal analysis and information
extraction. In view of scientific challenges for developing innovative solutions with a broad …
extraction. In view of scientific challenges for developing innovative solutions with a broad …