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Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives
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 …
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
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 …
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
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 …
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
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 …
resection improves the prognosis, a supratotal resection may result in neurological deficits …
Hyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection
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 …
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
Background Hyperspectral imaging (HSI) has the potential to enhance surgical tissue
detection and diagnostics. Definite utilization of intraoperative HSI guidance demands …
detection and diagnostics. Definite utilization of intraoperative HSI guidance demands …
Hyperspectral imaging for early diagnosis of diseases: A review
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 …
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
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 …
types, such as tumor tissue. Tissue classification algorithms are developed based on, eg …
Intra-operative brain tumor detection with deep learning-optimized hyperspectral imaging
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 …
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
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 …
it in early stage is challenging. Computer-aided diagnosis (CAD) could detect the early …