Computer-aided detection in chest radiography based on artificial intelligence: a survey

C Qin, D Yao, Y Shi, Z Song - Biomedical engineering online, 2018 - Springer
As the most common examination tool in medical practice, chest radiography has important
clinical value in the diagnosis of disease. Thus, the automatic detection of chest disease …

Statistical shape models for 3D medical image segmentation: a review

T Heimann, HP Meinzer - Medical image analysis, 2009 - Elsevier
Statistical shape models (SSMs) have by now been firmly established as a robust tool for
segmentation of medical images. While 2D models have been in use since the early 1990s …

Interactive facial feature localization

V Le, J Brandt, Z Lin, L Bourdev, TS Huang - Computer Vision–ECCV …, 2012 - Springer
We address the problem of interactive facial feature localization from a single image. Our
goal is to obtain an accurate segmentation of facial features on high-resolution images …

Automatic tuberculosis screening using chest radiographs

S Jaeger, A Karargyris, S Candemir… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Tuberculosis is a major health threat in many regions of the world. Opportunistic infections in
immunocompromised HIV/AIDS patients and multi-drug-resistant bacterial strains have …

Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration

S Candemir, S Jaeger, K Palaniappan… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
The National Library of Medicine (NLM) is developing a digital chest X-ray (CXR) screening
system for deployment in resource constrained communities and developing countries …

OFF-ApexNet on micro-expression recognition system

YS Gan, ST Liong, WC Yau, YC Huang… - Signal Processing: Image …, 2019 - Elsevier
When a person attempts to conceal an emotion, the genuine emotion is manifest as a micro-
expression. Exploration of automatic facial micro-expression recognition systems is …

Scan: Structure correcting adversarial network for organ segmentation in chest x-rays

W Dai, N Dong, Z Wang, X Liang, H Zhang… - … Workshop on Deep …, 2018 - Springer
Chest X-ray (CXR) is one of the most commonly prescribed medical imaging procedures,
often with over 2–10x more scans than other imaging modalities. These voluminous CXR …

Segmentation and classification on chest radiography: a systematic survey

T Agrawal, P Choudhary - The Visual Computer, 2023 - Springer
Chest radiography (X-ray) is the most common diagnostic method for pulmonary disorders.
A trained radiologist is required for interpreting the radiographs. But sometimes, even …

Robust brain extraction across datasets and comparison with publicly available methods

JE Iglesias, CY Liu, PM Thompson… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
Automatic whole-brain extraction from magnetic resonance images (MRI), also known as
skull stripping, is a key component in most neuroimage pipelines. As the first element in the …

Facial feature point detection: A comprehensive survey

N Wang, X Gao, D Tao, H Yang, X Li - Neurocomputing, 2018 - Elsevier
This paper presents a comprehensive survey of facial feature point detection with the
assistance of abundant manually labeled images. Facial feature point detection favors many …