Information Extraction Techniques in Hyperspectral Imaging Biomedical Applications

[1]  Behdad Dashtbozorg,et al.  Broadband hyperspectral imaging for breast tumor detection using spectral and spatial information. , 2019, Biomedical optics express.

[2]  Da-Wen Sun,et al.  Developments of nondestructive techniques for evaluating quality attributes of cheeses: A review , 2019, Trends in Food Science & Technology.

[3]  Matija Milanic,et al.  Hyperspectral imaging for detection of arthritis: feasibility and prospects , 2015, Journal of biomedical optics.

[4]  Francisco E. Robles,et al.  Assessing hemoglobin concentration using spectroscopic optical coherence tomography for feasibility of tissue diagnostics , 2010 .

[5]  Ela Claridge,et al.  Quantifying mucosal blood volume fraction from multispectral images of the colon , 2007, SPIE Medical Imaging.

[6]  Guolan Lu,et al.  Framework for hyperspectral image processing and quantification for cancer detection during animal tumor surgery , 2015, Journal of biomedical optics.

[7]  Qian Du,et al.  Hyperspectral Band Selection: A Review , 2019, IEEE Geoscience and Remote Sensing Magazine.

[8]  Jun Li,et al.  Recent Advances on Spectral–Spatial Hyperspectral Image Classification: An Overview and New Guidelines , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Geoffrey E. Hinton,et al.  Visualizing Data using t-SNE , 2008 .

[10]  Asgeir Bjorgan,et al.  Detection of hypercholesterolemia using hyperspectral imaging of human skin , 2015, European Conference on Biomedical Optics.

[11]  Marcel Bengs,et al.  Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification , 2020, MICCAI.

[12]  Calum MacAulay,et al.  Automated prostate glandular and nuclei detection using hyperspectral imaging , 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

[13]  Kristin L Sainani,et al.  Introduction to principal components analysis. , 2014, PM & R : the journal of injury, function, and rehabilitation.

[14]  Yukio Kosugi,et al.  Detection and Analysis of the Intestinal Ischemia Using Visible and Invisible Hyperspectral Imaging , 2010, IEEE Transactions on Biomedical Engineering.

[15]  Xu Wang,et al.  Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks , 2018, Medical Imaging.

[16]  Jiang Li,et al.  Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction , 2002, IEEE Trans. Geosci. Remote. Sens..

[17]  R. Vejarano,et al.  Evaluation of biological contaminants in foods by hyperspectral imaging: A review , 2017 .

[18]  Martin Halicek,et al.  In vivo cancer detection in animal model using hyperspectral image classification with wavelet feature extraction , 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

[19]  Guang-Zhong Yang,et al.  Manifold Embedding and Semantic Segmentation for Intraoperative Guidance With Hyperspectral Brain Imaging , 2017, IEEE Transactions on Medical Imaging.

[20]  James V. Little,et al.  Detection of Head and Neck Cancer in Surgical Specimens Using Quantitative Hyperspectral Imaging , 2017, Clinical Cancer Research.

[21]  Jun Li,et al.  Advanced Spectral Classifiers for Hyperspectral Images: A review , 2017, IEEE Geoscience and Remote Sensing Magazine.

[22]  Gustavo Marrero Callicó,et al.  Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology , 2020, Medical Imaging: Digital Pathology.

[23]  Paola Taroni,et al.  Diffuse optical characterization of collagen absorption from 500 to 1700 nm , 2017, Journal of biomedical optics.

[24]  Jon Atli Benediktsson,et al.  Deep Learning for Hyperspectral Image Classification: An Overview , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[25]  Mei Zhou,et al.  Spectral-spatial feature-based neural network method for acute lymphoblastic leukemia cell identification via microscopic hyperspectral imaging technology. , 2017, Biomedical optics express.

[26]  Roberto Sarmiento,et al.  Detecting brain tumor in pathological slides using hyperspectral imaging. , 2018, Biomedical optics express.

[27]  Christine T. O. Nguyen,et al.  Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer’s disease , 2019, Nature Communications.

[28]  Yuhui Shi,et al.  Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[29]  Paul Scheunders,et al.  Close range hyperspectral imaging of plants: A review , 2017 .

[30]  Gustavo M. Callico,et al.  Hyperspectral Superpixel-Wise Glioblastoma Tumor Detection in Histological Samples , 2020 .

[31]  Philip J. Stephens,et al.  Optical spectra of oxy- and deoxyhemoglobin , 1978 .

[32]  Shanshan Zhang,et al.  Superpixel Segmentation of Hyperspectral Images Based on Entropy and Mutual Information , 2020 .

[33]  S. Radha,et al.  A Survey on Hyperspectral Imaging for Mineral Exploration using Machine Learning Algorithms , 2019, 2019 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET).

[34]  Baowei Fei,et al.  In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer , 2019, Cancers.

[35]  Guolan Lu,et al.  Medical hyperspectral imaging: a review , 2014, Journal of biomedical optics.

[36]  Dongrong Xu,et al.  Leukocyte cells identification and quantitative morphometry based on molecular hyperspectral imaging technology , 2014, Comput. Medical Imaging Graph..

[37]  Luma V. Halig,et al.  Hyperspectral imaging and quantitative analysis for prostate cancer detection. , 2012, Journal of biomedical optics.

[38]  Stojan Trajanovski,et al.  Tongue Tumor Detection in Hyperspectral Images Using Deep Learning Semantic Segmentation , 2020, IEEE Transactions on Biomedical Engineering.

[39]  Mei Zhou,et al.  Red Blood Cell Count Automation Using Microscopic Hyperspectral Imaging Technology , 2015, Applied spectroscopy.

[40]  Gustavo Marrero Callicó,et al.  Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks , 2020, Sensors.

[41]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[42]  Marti A. Hearst.  Trends & Controversies: Support Vector Machines , 1998, IEEE Intell. Syst..

[43]  D. Böhning.  Multinomial logistic regression algorithm , 1992 .

[44]  Gustavo Marrero Callicó,et al.  Most Relevant Spectral Bands Identification for Brain Cancer Detection Using Hyperspectral Imaging , 2019, Sensors.

[45]  Eduardo Quevedo,et al.  Non-Invasive Skin Cancer Diagnosis Using Hyperspectral Imaging for In-Situ Clinical Support , 2020, Journal of clinical medicine.

[46]  Gustavo Marrero Callicó,et al.  Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain , 2019, Sensors.

[47]  Sanghamitra Deb,et al.  Comparison of pump-probe and hyperspectral imaging in unstained histology sections of pigmented lesions. , 2017, Biomedical optics express.

[48]  Bogdan Zagajewski,et al.  Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images , 2017 .

[49]  Anastasios Koulaouzidis,et al.  Use of Hyperspectral/Multispectral Imaging in Gastroenterology. Shedding Some–Different–Light into the Dark , 2019, Journal of clinical medicine.

[50]  Y. Kosugi,et al.  Cancer detection using infrared hyperspectral imaging , 2011, Cancer science.

[51]  Da-Wen Sun,et al.  Introduction to Hyperspectral Imaging Technology , 2016 .

[52]  Guang-Zhong Yang,et al.  Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations , 2018, PloS one.

[53]  Nasser Kehtarnavaz,et al.  Classification of ex-vivo breast cancer positive margins measured by hyperspectral imaging , 2013, 2013 IEEE International Conference on Image Processing.

[54]  Hamid Saeed Khan,et al.  Modern Trends in Hyperspectral Image Analysis: A Review , 2018, IEEE Access.

[55]  E. Livingston,et al.  Intraoperative bile duct visualization using near-infrared hyperspectral video imaging. , 2008, American Journal of Surgery.

[56]  Raul Morais,et al.  Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry , 2017, Remote. Sens..

[57]  S. N. Sivanandam,et al.  Introduction to genetic algorithms , 2007 .

[58]  Christiaan Perneel,et al.  Hypersectral Imaging for Military and Security Applications: Combining Myriad Processing and Sensing Techniques , 2019, IEEE Geoscience and Remote Sensing Magazine.

[59]  H. Arimoto,et al.  Retinal blood oxygen saturation mapping by multispectral imaging and morphological angiography , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[60]  Daiki Nakaya,et al.  Development of High-Performance Pathological Diagnosis Software Using a Hyperspectral Camera , 2018, 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES).

[61]  Hongjun Wang,et al.  Tongue Tumor Detection in Medical Hyperspectral Images , 2011, Sensors.

[62]  Martin T. Halicek,et al.  Hyperspectral Imaging of Head and Neck Squamous Cell Carcinoma for Cancer Margin Detection in Surgical Specimens from 102 Patients Using Deep Learning , 2019, Cancers.

[63]  Baowei Fei,et al.  Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning. , 2020, Biomedical optics express.

[64]  Yoshihiko Hamamoto,et al.  Use of hyperspectral imaging technology to develop a diagnostic support system for gastric cancer , 2015, Journal of biomedical optics.

[65]  J. A. N. T. Soares,et al.  Introduction to Optical Characterization of Materials , 2014 .

[66]  Baowei Fei,et al.  Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review [Invited]. , 2020, Biomedical optics express.

[67]  Jörg Bendix,et al.  Development of an image pre‐processor for operational hyperspectral laryngeal cancer detection , 2016, Journal of biophotonics.

[68]  Lorenzo Bruzzone,et al.  Classification of hyperspectral remote sensing images with support vector machines , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[69]  Xu Wang,et al.  Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks , 2019, Journal of biomedical optics.

[70]  Guang-Zhong Yang,et al.  An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation , 2018, Sensors.

[71]  Wei-Chiang Lin,et al.  Spectral-profile-based algorithm for hemoglobin oxygen saturation determination from diffuse reflectance spectra , 2011, Biomedical optics express.