Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review

S Ortega, M Halicek, H Fabelo, GM Callico… - Biomedical Optics …, 2020 - opg.optica.org
Hyperspectral imaging (HSI) and multispectral imaging (MSI) technologies have the
potential to transform the fields of digital and computational pathology. Traditional digitized …

[HTML][HTML] Applications of hyperspectral imaging in the detection and diagnosis of solid tumors

Y Zhang, X Wu, L He, C Meng, S Du… - Translational Cancer …, 2020 - ncbi.nlm.nih.gov
Hyperspectral imaging (HSI) is an emerging new technology in solid tumor diagnosis and
detection. It incorporates traditional imaging and spectroscopy together to obtain both spatial …

Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network

FD Khameneh, S Razavi, M Kamasak - Computers in biology and medicine, 2019 - Elsevier
The uncontrollable growth of cells in the breast tissue causes breast cancer which is the
second most common type of cancer affecting women in the United States. Normally, human …

Automatic optical biopsy for colorectal cancer using hyperspectral imaging and artificial neural networks

T Collins, V Bencteux, S Benedicenti, V Moretti… - Surgical …, 2022 - Springer
Background Intraoperative identification of cancerous tissue is fundamental during
oncological surgical or endoscopic procedures. This relies on visual assessment supported …

A Snapshot Multi-Spectral Demosaicing Method for Multi-Spectral Filter Array Images Based on Channel Attention Network

X Zhang, Y Dai, G Zhang, X Zhang, B Hu - Sensors, 2024 - mdpi.com
Multi-spectral imaging technologies have made great progress in the past few decades. The
development of snapshot cameras equipped with a specific multi-spectral filter array (MSFA) …

Quantitative analysis of liver tumors at different stages using microscopic hyperspectral imaging technology

J Wang, Q Li - Journal of Biomedical Optics, 2018 - spiedigitallibrary.org
Liver cancer has one of the highest rates of human morbidity and mortality. However, in
terms of pathology, liver cancer is traditionally clinically diagnosed based on observation of …

New bag-of-feature for histopathology image classification using reinforced cat swarm algorithm and weighted Gaussian mixture modelling

S Vijh, S Kumar, M Saraswat - Complex & Intelligent Systems, 2022 - Springer
The progress in digital histopathology for computer-aided diagnosis leads to advancement
in automated histopathological image classification system. However, heterogeneity and …

Image registration for varicose ulcer classification using KNN classifier

RR Bhavani, G Wiselin Jiji - International Journal of Computers …, 2018 - Taylor & Francis
This paper proposes a clinically supportive tissue classification scheme for varicose ulcer
classification using medical image processing and knowledge engineering techniques …

Demosaicking using a spatial reference image for an anti-aliasing multispectral filter array

M Kawase, K Shinoda… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Multispectral imaging with a multispectral filter array (MSFA) facilitates snapshot imaging;
however, a demosaicking process is required to estimate a fully defined multispectral image …

The potentials of nonlinear polarization with hyperspectral imaging of RNA for hepatocellular carcinoma early diagnosis

YH El-Sharkawy, S Elbasuney, SM Radwan… - Egyptian Journal of …, 2024 - Springer
Background Most cancers acquire numerous genetic changes in proto-oncogenes as well
as tumor-suppressor genes. Cancer's early diagnosis remains a challenge. Recently …