Deep learning for medical image-based cancer diagnosis

X Jiang, Z Hu, S Wang, Y Zhang - Cancers, 2023 - mdpi.com
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

Two-stage classification strategy for breast cancer diagnosis using ultrasound-guided diffuse optical tomography and deep learning

M Zhang, S Li, M Xue, Q Zhu - Journal of Biomedical Optics, 2023 - spiedigitallibrary.org
Significance Ultrasound (US)-guided diffuse optical tomography (DOT) has demonstrated
great potential for breast cancer diagnosis in which real-time or near real-time diagnosis …

Parallel-plate diffuse optical imaging in a tissue-like phantom through high signal-to-noise measurement

J Li, L Yang, H Feng, Z Shao, Y Hao, W Ding… - Infrared Physics & …, 2024 - Elsevier
In this paper, a parallel-plate diffuse optical imaging has been proposed and developed with
chaotic laser. To evaluate the ability of the diffuse optical imaging system, a series of tissue …

Blind Image Reconstruction using Deep Gaussian Mixture Learning

B Xue, Q Zheng, Z Li, C Mu, J Yang, X Feng… - IEEE …, 2024 - ieeexplore.ieee.org
Image reconstruction plays an important role in modern electronic information systems and
equipment and has attracted widespread intense attention in academic and industrial fields …

FREEnet: a dynamic deep-learning model for freehand diffuse optical tomography

R Dale, T O'Sullivan, H Dehghani - Microscopy Histopathology and …, 2024 - opg.optica.org
FREEnet: a dynamic deep-learning model for freehand diffuse optical tomography Page 1
FREEnet: a dynamic deep-learning model for freehand diffuse optical tomography Robin …

A Self-supervised Learning Reconstruction Algorithm with an Encoder-Decoder Architecture for Diffuse Optical Tomography

Y Li, C Wei, W Zhang, Z Li, Z Sun, K Jia… - Chinese Conference on …, 2023 - Springer
Diffuse optical tomography (DOT) is an emerging non-invasive optical imaging technique,
which has a promising application in breast cancer detection and diagnosis. However, the …