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[HTML][HTML] A review on a deep learning perspective in brain cancer classification
A World Health Organization (WHO) Feb 2018 report has recently shown that mortality rate
due to brain or central nervous system (CNS) cancer is the highest in the Asian continent. It …
due to brain or central nervous system (CNS) cancer is the highest in the Asian continent. It …
[HTML][HTML] In-vivo and ex-vivo tissue analysis through hyperspectral imaging techniques: revealing the invisible features of cancer
In contrast to conventional optical imaging modalities, hyperspectral imaging (HSI) is able to
capture much more information from a certain scene, both within and beyond the visual …
capture much more information from a certain scene, both within and beyond the visual …
Intelligent ultra-light deep learning model for multi-class brain tumor detection
The diagnosis and surgical resection using Magnetic Resonance (MR) images in brain
tumors is a challenging task to minimize the neurological defects after surgery owing to the …
tumors is a challenging task to minimize the neurological defects after surgery owing to the …
Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain
The main goal of brain cancer surgery is to perform an accurate resection of the tumor,
preserving as much normal brain tissue as possible for the patient. The development of a …
preserving as much normal brain tissue as possible for the patient. The development of a …
[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 …