Deep learning in medical hyperspectral images: A review
With the continuous progress of development, deep learning has made good progress in the
analysis and recognition of images, which has also triggered some researchers to explore …
analysis and recognition of images, which has also triggered some researchers to explore …
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 …
Trends in deep learning for medical hyperspectral image analysis
U Khan, S Paheding, CP Elkin… - IEEE Access, 2021 - ieeexplore.ieee.org
Deep learning algorithms have seen acute growth of interest in their applications throughout
several fields of interest in the last decade, with medical hyperspectral imaging being a …
several fields of interest in the last decade, with medical hyperspectral imaging being a …
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 …
Automatic recognition of colon and esophagogastric cancer with machine learning and hyperspectral imaging
There are approximately 1.8 million diagnoses of colorectal cancer, 1 million diagnoses of
stomach cancer, and 0.6 million diagnoses of esophageal cancer each year globally. An …
stomach cancer, and 0.6 million diagnoses of esophageal cancer each year globally. An …
Review on the application of hyperspectral imaging technology of the exposed cortex in cerebral surgery
Y Wu, Z Xu, W Yang, Z Ning, H Dong - Frontiers in Bioengineering …, 2022 - frontiersin.org
The study of brain science is vital to human health. The application of hyperspectral imaging
in biomedical fields has grown dramatically in recent years due to their unique optical …
in biomedical fields has grown dramatically in recent years due to their unique optical …
Discriminating healthy from tumor tissue in breast lumpectomy specimens using deep learning-based hyperspectral imaging
Achieving an adequate resection margin during breast-conserving surgery remains
challenging due to the lack of intraoperative feedback. Here, we evaluated the use of …
challenging due to the lack of intraoperative feedback. Here, we evaluated the use of …
[HTML][HTML] Technological Frontiers in Brain Cancer: A Systematic Review and Meta-Analysis of Hyperspectral Imaging in Computer-Aided Diagnosis Systems
JH Leung, R Karmakar, A Mukundan, WS Lin, F Anwar… - Diagnostics, 2024 - mdpi.com
Brain cancer is a substantial factor in the mortality associated with cancer, presenting
difficulties in the timely identification of the disease. The precision of diagnoses is …
difficulties in the timely identification of the disease. The precision of diagnoses is …
Estimating quantitative physiological and morphological tissue parameters of murine tumor models using hyperspectral imaging and optical profilometry
Understanding tumors and their microenvironment are essential for successful and accurate
disease diagnosis. Tissue physiology and morphology are altered in tumors compared to …
disease diagnosis. Tissue physiology and morphology are altered in tumors compared to …
[Retracted] Hyperspectral Image Analysis of Colon Tissue and Deep Learning for Characterization of Health care
A Akram Abdulrazzaq… - … and Public Health, 2022 - Wiley Online Library
Colon cancer is a disease characterized by the unusual and uncontrolled development of
cells that are found in the large intestine. If the tumour extends to the lower part of the colon …
cells that are found in the large intestine. If the tumour extends to the lower part of the colon …