Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review
Hyperspectral imaging (HSI) and multispectral imaging (MSI) technologies have the
potential to transform the fields of digital and computational pathology. Traditional digitized …
potential to transform the fields of digital and computational pathology. Traditional digitized …
[HTML][HTML] Surgical spectral imaging
Recent technological developments have resulted in the availability of miniaturised spectral
imaging sensors capable of operating in the multi-(MSI) and hyperspectral imaging (HSI) …
imaging sensors capable of operating in the multi-(MSI) and hyperspectral imaging (HSI) …
[HTML][HTML] Use of hyperspectral/multispectral imaging in gastroenterology. Shedding some–different–light into the dark
Hyperspectral/Multispectral imaging (HSI/MSI) technologies are able to sample from tens to
hundreds of spectral channels within the electromagnetic spectrum, exceeding the …
hundreds of spectral channels within the electromagnetic spectrum, exceeding the …
[HTML][HTML] Feedforward artificial neural network-based colorectal cancer detection using hyperspectral imaging: a step towards automatic optical biopsy
Simple Summary Detection of colorectal carcinoma is performed visually by investigators
and is confirmed pathologically. With hyperspectral imaging, an expanded spectral range of …
and is confirmed pathologically. With hyperspectral imaging, an expanded spectral range of …
Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning
The performance of hyperspectral imaging (HSI) for tumor detection is investigated in ex-
vivo specimens from the thyroid (N= 200) and salivary glands (N= 16) from 82 patients …
vivo specimens from the thyroid (N= 200) and salivary glands (N= 16) from 82 patients …
[HTML][HTML] Hyperspectral imaging of head and neck squamous cell carcinoma for cancer margin detection in surgical specimens from 102 patients using deep learning
Surgical resection of head and neck (H and N) squamous cell carcinoma (SCC) may yield
inadequate surgical cancer margins in 10 to 20% of cases. This study investigates the …
inadequate surgical cancer margins in 10 to 20% of cases. This study investigates the …
[HTML][HTML] Autofluorescence-spectral imaging as an innovative method for rapid, non-destructive and reliable assessing of soybean seed quality
C Barboza da Silva, NM Oliveira, MEA de Carvalho… - Scientific reports, 2021 - nature.com
In the agricultural industry, advances in optical imaging technologies based on rapid and
non-destructive approaches have contributed to increase food production for the growing …
non-destructive approaches have contributed to increase food production for the growing …
Advances in optical gastrointestinal endoscopy: a technical review
Y Tang, S Anandasabapathy… - Molecular …, 2021 - Wiley Online Library
Optical endoscopy is the primary diagnostic and therapeutic tool for management of
gastrointestinal (GI) malignancies. Most GI neoplasms arise from precancerous lesions; …
gastrointestinal (GI) malignancies. Most GI neoplasms arise from precancerous lesions; …
[HTML][HTML] Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model
A Studier-Fischer, S Seidlitz, J Sellner, B Özdemir… - Scientific Reports, 2022 - nature.com
Visual discrimination of tissue during surgery can be challenging since different tissues
appear similar to the human eye. Hyperspectral imaging (HSI) removes this limitation by …
appear similar to the human eye. Hyperspectral imaging (HSI) removes this limitation by …
Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks
M Halicek, JV Little, X Wang… - Journal of biomedical …, 2019 - spiedigitallibrary.org
For patients undergoing surgical cancer resection of squamous cell carcinoma (SCCa),
cancer-free surgical margins are essential for good prognosis. We developed a method to …
cancer-free surgical margins are essential for good prognosis. We developed a method to …