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Lung Nodule Detection and Segmentation Using a Patch-Based Multi-Atlas Method
(2018-08-13)
CT image based lung nodule detection is the most widely used and accepted method for detecting lung cancer. Most CT image based methods rely on supervised learning, which has a high number of false positives and need a ...
Investigation of 1064-nm laser fluence within tissue phantoms and its in vivo effects on human brain networks
(2018-05-22)
For the past few decades there has been an increasing interest in the usage of near infrared (NIR) laser in the medical optics field. This is due to a number of studies conducted on different animal models utilizing NIR ...
LARGE-SCALE DEEP LEARNING WITH APPLICATION IN MEDICAL IMAGING AND BIO-INFORMATICS
(2018-11-27)
With the recent advancement of the deep learning technology in the artificial intelligence area, nowadays people's lives have been drastically changed. However, the success of deep learning technology mostly relies on ...
DESIGN, DEVELOPMENT, AND VALIDATION OF A NOVEL OPTICAL IMAGING DEVICE FOR BIOMEDICAL APPLICATIONS
(2019-07-31)
Fluorescence and luminescence imaging are two promising optical techniques for diagnosing a variety of critical pathologies in vivo, including wound healing, inflammation, and vascular diseases. Despite this, there is a ...
Deep Learning Based Multi-Label Classification for Surgical Tool Presence Detection in Laparoscopic Videos
(2017-08-07)
Laparoscopic surgery, Modern surgery, where the surgery is performed far away from the patient by inserting small incisions on the patient's body and the surgery is performed with a help of a video recorder and through ...
PURSUIT OF ULTIMATE TOMOGRAPHIC IMAGE QUALITY: FROM CLASSICAL METHODS TO DEEP LEARNING
(2023-08-15)
**Please note that the full text is embargoed until 8/1/2025** ABSTRACT: Medical imaging plays a crucial role in modern healthcare, serving as a vital component in the realms of diagnosis and treatment. It encompasses a ...