[HTML][HTML] Noninvasive hemoglobin sensing and imaging: optical tools for disease diagnosis
Significance: Measurement and imaging of hemoglobin oxygenation are used extensively in
the detection and diagnosis of disease; however, the applied instruments vary widely in their …
the detection and diagnosis of disease; however, the applied instruments vary widely in their …
Deep learning for biomedical image reconstruction: A survey
Medical imaging is an invaluable resource in medicine as it enables to peer inside the
human body and provides scientists and physicians with a wealth of information …
human body and provides scientists and physicians with a wealth of information …
Clinical and pre-clinical methods for quantifying tumor hypoxia
Hypoxia, a prevalent characteristic of most solid malignant tumors, contributes to diminished
therapeutic responses and more aggressive phenotypes. The term hypoxia has two …
therapeutic responses and more aggressive phenotypes. The term hypoxia has two …
Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography
J Feng, Q Sun, Z Li, Z Sun, K Jia - Journal of biomedical optics, 2019 - spiedigitallibrary.org
Diffuse optical tomography (DOT) is a promising noninvasive imaging modality and is
capable of providing functional characteristics of biological tissue by quantifying optical …
capable of providing functional characteristics of biological tissue by quantifying optical …
Machine learning model with physical constraints for diffuse optical tomography
A machine learning model with physical constraints (ML-PC) is introduced to perform diffuse
optical tomography (DOT) reconstruction. DOT reconstruction is an ill-posed and under …
optical tomography (DOT) reconstruction. DOT reconstruction is an ill-posed and under …
Deep learning-based fusion of widefield diffuse optical tomography and micro-CT structural priors for accurate 3D reconstructions
Widefield illumination and detection strategies leveraging structured light have enabled fast
and robust probing of tissue properties over large surface areas and volumes. However …
and robust probing of tissue properties over large surface areas and volumes. However …
Development of digital breast tomosynthesis and diffuse optical tomography fusion imaging for breast cancer detection
Diffuse optical tomography (DOT) non-invasively measures the functional characteristics of
breast lesions using near infrared light to probe tissue optical properties. This study aimed to …
breast lesions using near infrared light to probe tissue optical properties. This study aimed to …
Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme
Objective of this study is to develop and test a new computer-aided detection (CAD) scheme
with improved region of interest (ROI) segmentation combined with an image feature …
with improved region of interest (ROI) segmentation combined with an image feature …
Applying a machine learning model using a locally preserving projection based feature regeneration algorithm to predict breast cancer risk
Both conventional and deep machine learning has been used to develop decision-support
tools applied in medical imaging informatics. In order to take advantages of both …
tools applied in medical imaging informatics. In order to take advantages of both …
Enhanced model iteration algorithm with graph neural network for diffuse optical tomography
H Yi, R Yang, Y Wang, Y Wang, H Guo… - Biomedical Optics …, 2024 - opg.optica.org
Diffuse optical tomography (DOT) employs near-infrared light to reveal the optical
parameters of biological tissues. Due to the strong scattering of photons in tissues and the …
parameters of biological tissues. Due to the strong scattering of photons in tissues and the …