Imaging spectroscopy integrates traditional computer vision and spectroscopy into a single
system and has gained widespread acceptance as a non-destructive scientific instrument for …

Measuring morphological and biochemical features of tissue is crucial for disease diagnosis
and surgical guidance, providing clinically significant information related to pathophysiology …

Objective In this research paper, the brain MRI images are going to classify by considering
the excellence of CNN on a public dataset to classify Benign and Malignant tumors …

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 …

Recent technological developments have resulted in the availability of miniaturised spectral
imaging sensors capable of operating in the multi-(MSI) and hyperspectral imaging (HSI) …

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 …

Glioblastoma (GBM) tumor is the most common primary brain malignant tumor. The precise
identification of GBM tumors is very important for diagnosis and treatment. Hyperspectral …

Semantic image segmentation is an important prerequisite for context-awareness and
autonomous robotics in surgery. The state of the art has focused on conventional RGB video …

Significance Spectral imaging, which includes hyperspectral and multispectral imaging, can
provide images in numerous wavelength bands within and beyond the visible light …

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 …