Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives

U Raghavendra, A Gudigar, A Paul, TS Goutham… - Computers in Biology …, 2023 - Elsevier
A brain tumor is an abnormal mass of tissue located inside the skull. In addition to putting
pressure on the healthy parts of the brain, it can lead to significant health problems …

[HTML][HTML] Intraoperative guidance using hyperspectral imaging: a review for surgeons

M Barberio, S Benedicenti, M Pizzicannella, E Felli… - Diagnostics, 2021 - mdpi.com
Hyperspectral imaging (HSI) is a novel optical imaging modality, which has recently found
diverse applications in the medical field. HSI is a hybrid imaging modality, combining a …

[HTML][HTML] Non-invasive skin cancer diagnosis using hyperspectral imaging for in-situ clinical support

R Leon, B Martinez-Vega, H Fabelo, S Ortega… - Journal of clinical …, 2020 - mdpi.com
Skin cancer is one of the most common forms of cancer worldwide and its early detection its
key to achieve an effective treatment of the lesion. Commonly, skin cancer diagnosis is …

Hyperspectral imaging for glioblastoma surgery: improving tumor identification using a deep spectral-spatial approach

F Manni, F van der Sommen, H Fabelo, S Zinger… - Sensors, 2020 - mdpi.com
The primary treatment for malignant brain tumors is surgical resection. While gross total
resection improves the prognosis, a supratotal resection may result in neurological deficits …

Hyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection

R Leon, H Fabelo, S Ortega, IA Cruz-Guerrero… - npj Precision …, 2023 - nature.com
Brain surgery is one of the most common and effective treatments for brain tumour. However,
neurosurgeons face the challenge of determining the boundaries of the tumour to achieve …

[HTML][HTML] Hyperspectral imaging in brain tumor surgery—evidence of machine learning-based performance

S Puustinen, H Vrzáková, J Hyttinen, T Rauramaa… - World Neurosurgery, 2023 - Elsevier
Background Hyperspectral imaging (HSI) has the potential to enhance surgical tissue
detection and diagnostics. Definite utilization of intraoperative HSI guidance demands …

Hyperspectral imaging for early diagnosis of diseases: A review

H Mangotra, S Srivastava, G Jaiswal, R Rani… - Expert …, 2023 - Wiley Online Library
Hyperspectral Imaging (HSI) has grown to be one of the most crucial optical imaging
modalities with applications in numerous industries. The non‐invasive nature of HSI has led …

Comparison of preprocessing techniques to reduce nontissue-related variations in hyperspectral reflectance imaging

M Witteveen, HJCM Sterenborg… - … of biomedical optics, 2022 - spiedigitallibrary.org
Significance Hyperspectral reflectance imaging can be used in medicine to identify tissue
types, such as tumor tissue. Tissue classification algorithms are developed based on, eg …

Intra-operative brain tumor detection with deep learning-optimized hyperspectral imaging

T Giannantonio, A Alperovich… - Optical Biopsy XXI …, 2023 - spiedigitallibrary.org
Surgery for gliomas (intrinsic brain tumors), especially when low-grade, is challenging due
to the infiltrative nature of the lesion. Currently, no real-time, intra-operative, label-free and …

Systematic meta-analysis of computer-aided detection to detect early esophageal cancer using hyperspectral imaging

WC Liao, A Mukundan, C Sadiaza, YM Tsao… - Biomedical Optics …, 2023 - opg.optica.org
One of the leading causes of cancer deaths is esophageal cancer (EC) because identifying
it in early stage is challenging. Computer-aided diagnosis (CAD) could detect the early …