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Brain Tumor Analysis Empowered with Deep Learning: A Review, Taxonomy, and Future Challenges

Muhammad Waqas Nadeem, Mohammed A. Al Ghamdi, Muzammil Hussain, Muhammad Adnan Khan, Khalid Masood Khan, Sultan H. Almotiri, Suhail Ashfaq Butt
2020 Brain Sciences  
Considering the wide range of applications of deep learning, the objective of this article is to review major deep learning concepts pertinent to brain tumor analysis (e.g., segmentation, classification  ...  A review conducted by summarizing a large number of scientific contributions to the field (i.e., deep learning in brain tumor analysis) is presented in this study.  ...  Hyperspectral imaging is non-ionizing, label-free and non-contact. The deep-learning framework preprocesses the hyperspectral images in vivo brain tissues.  ... 
doi:10.3390/brainsci10020118 pmid:32098333 pmcid:PMC7071415 fatcat:wofq4puvcbemlconbz6carsf2y

An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation

Himar Fabelo, Samuel Ortega, Raquel Lazcano, Daniel Madroñal, Gustavo M. Callicó, Eduardo Juárez, Rubén Salvador, Diederik Bulters, Harry Bulstrode, Adam Szolna, Juan Piñeiro, Coralia Sosa (+11 others)
2018 Sensors  
In this preliminary study, thematic maps obtained from a validation database of seven hyperspectral images of in vivo brain tissue captured and processed during neurosurgical operations demonstrate that  ...  the system is able to discriminate between normal and tumor tissue in the brain.  ...  Acknowledgments: This work has been supported in part by the European Commission through the FP7 FET Open Programme ICT-2011.9.2 European Project HELICoiD "HypErspectral Imaging Cancer Detection" under  ... 
doi:10.3390/s18020430 pmid:29389893 pmcid:PMC5856119 fatcat:gsvrung6qvda5cleevhunggqnu

AI and Medical Imaging Informatics: Current Challenges and Future Directions

Andreas S. Panayides, Amir Amini, Nenad Filipovic, Ashish Sharma, Sotirios Tsaftaris, Alistair Young, David J. Foran, Nhan Do, Spyretta Golemati, Tahsin Kurc, Kun Huang, Konstantina S. Nikita (+4 others)
2020 IEEE journal of biomedical and health informatics  
It then provides a synopsis of contemporary and emerging algorithmic methods for disease classification and organ/ tissue segmentation, focusing on AI and deep learning architectures that have already  ...  More specifically, it summarizes advances in medical imaging acquisition technologies for different modalities, highlighting the necessity for efficient medical data management strategies in the context  ...  that shows a region of high glucose activity corresponding to a thoracic malignancy; (g) A magnified, digitized image of brain tissue to look for signs of Glioblastoma (taken from TCGA Glioblastoma Multiforme  ... 
doi:10.1109/jbhi.2020.2991043 pmid:32609615 pmcid:PMC8580417 fatcat:dcaefxwwqjfwla5asin34x2hxm

Optical aspects of a miniature fluorescence microscope for super-sensitive biomedical detection

Yunfeng Nie, Aikio Sanna, Annukka Kokkonen, Teemu Sipola, Uusitalo Sanna, Simonetta Grilli, Heidi Ottevaere
2020 Zenodo  
We present optical design and the principle demonstrator of a miniature fluorescence microscope aiming for super-sensitive detection.  ...  Current commercial fluorescence microscopes are typically sophisticated, bulky and expensive, not suitable for low-volume or clinic routine biomedical detection.  ...  We used diffuse correlation spectroscopy to continuously monitor cerebral blood flow changes in high grade subarachnoid hemorrhage patients in response to the intervention, IT Nicardipine, and predict  ... 
doi:10.5281/zenodo.3822435 fatcat:3eoome22a5grbmarbrktphfh7a

Proceedings of the World Molecular Imaging Congress 2021, October 5-8, 2021: General Abstracts

2022 Molecular Imaging and Biology  
The method can be applied to clinical MRI images and will be crucial in order to facilitate diagnosis of tumor progression at the earliest stages.  ...  The uncertainty caused in the system was modeled as an iterative deconvolution with resolution subsets to denoise and enhance image resolution.  ...  an excellent in vivo stability and radiopharmacology for imaging GPA33-expressing CRC liver metastasis, and appears to be an excellent radiohapten precursor for theranostic Zr-89/Lu-177 therapy.  ... 
doi:10.1007/s11307-021-01693-y pmid:34982365 pmcid:PMC8725635 fatcat:4sfb3isoyfdhfbiwxfr55gvqym

Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications

Raquel Lazcano, Daniel Madronal, Giordana Florimbi, Jaime Sancho, Sergio Sanchez, Raquel Leon, Himar Fabelo, Samuel Ortega, Emanuele Torti, Ruben Salvador, Margarita Marrero-Martin, Francesco Leporati (+3 others)
2019 IEEE Access  
Hyperspectral (HS) imaging presents itself as a non-contact, non-ionizing and non-invasive technique, proven to be suitable for medical diagnosis.  ...  GPU and a manycore architecture, both specifically thought for being used in battery-dependent environments.  ...  ACKNOWLEDGMENT The authors would like to thank NVIDIA Corporation for the donation of the NVIDIA Tesla K40 GPU used for this research.  ... 
doi:10.1109/access.2019.2938708 fatcat:7gmigrea7rhlfo2qd3g7g5lna4

Comprehensive review of surgical microscopes: technology development and medical applications

Ling Ma, Baowei Fei
2021 Journal of Biomedical Optics  
New imaging modalities, such as hyperspectral imaging, OCT, fluorescence imaging, photoacoustic microscopy, and laser speckle contrast imaging, are being integrated with surgical microscopes.  ...  State-of-the-art surgical microscopes are integrated with various imaging modalities, such as optical coherence tomography (OCT), fluorescence imaging, and augmented reality (AR) for image-guided surgery  ...  Acknowledgments This research was supported in part by the U.S.  ... 
doi:10.1117/1.jbo.26.1.010901 pmid:33398948 pmcid:PMC7780882 fatcat:7xuymzlwkrhrxld2lv7urfjc6u

CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020

2020 International Journal of Computer Assisted Radiology and Surgery  
In the times of COVID-19 overshadowing CARS 2020 and what the future may hold, a CARS meeting with these numbers of participants is not feasible anymore and new ways have to be explored to still fulfill  ...  Aiming to stimulate complimentary thoughts and actions on what is being presented at CARS, implies a number of enabling variables for optimal analogue scholarly communication, such as (examples given are  ...  We thank NVIDIA for the Titan X hardware grant that allowed us to process the images in a faster way. ].  ... 
doi:10.1007/s11548-020-02171-6 pmid:32514840 fatcat:lyhdb2zfpjcqbf4mmbunddwroq

Track I

2014 Biomedical Engineering  
This work gives strong indication that ESNs are able to work even with raw image patches directly and do not necessarily require image pre-processing, or feature extraction prior to classification.  ...  We show that a properly designed and trained ESN is able to discriminate early and late granulopoietic cells in histopathological images of the human bone marrow with overall mean accuracy (±SD) of 0.846  ...  Christoph Meißner for providing access to the brain samples, and for forensic advice.  ... 
doi:10.1515/bmt-2014-5008 pmid:25385893 fatcat:4o7vqkhdmfgk5fjzqpeh74x5te

Nanotechnology in cancer treatment

Maria Mironidou-Tzouveleki, Konstantinos Imprialos, Athanasios Kintsakis, Hooman Mohseni, Massoud H. Agahi, Manijeh Razeghi
2011 Biosensing and Nanomedicine IV  
Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination  ...  Acknowledgments: The authors thank Emanuel Maus (Kirchhoff-Institute for Physics) for providing an SMLM image.  ...  Prinz Zippl, University of Vienna, Austria, for always finding the right way of haziness in constructive discussions.  ... 
doi:10.1117/12.898643 fatcat:jg7vx6qoxbdr7oabvmu5j7dvpe

Abstract Book, XIII International Congress of Histochemistry and Cytochemistry ICHC2008, Imaging of Cell Dynamics, 23rd-27th August 2008, Medical University of Gdansk, Poland

FHC Redaction
2008 Folia Histochemica et Cytobiologica  
We also confirmed overexpression of the 9 kinase genes with quantitative RT-PCR in samples of glioblastoma and glioma cell lines compared to normal brain from our institution's Brain Tumor Bank.  ...  The aim of my talk is to introduce recent advances made in the optical microscopic technologies for in vivo imaging.  ...  To reach this goal, changes in the chemical coding of sympathetic neurons supplying porcine urinary bladder, an animal which can be used as a very good model for human lower urinary tract, have been elucidated  ... 
doi:10.5603/4388 doaj:cdebe86bf2604301b2401e99ae9a504c fatcat:7j6nazvgnjf2bhooy5awdzq7uy

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Luo, J., +, TIM 2021 5012311 Fusing Multiple Deep Models for In Vivo Human Brain Hyperspectral Image Classification to Identify Glioblastoma Tumor.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

Bioanalysis of Eukaryotic Organelles

Chad P. Satori, Michelle M. Henderson, Elyse A. Krautkramer, Vratislav Kostal, Mark M. Distefano, Edgar A. Arriaga
2013 Chemical Reviews  
. 360c This allowed for comparisons between both in vivo and in vitro models.  ...  A promising compound for brain cancer therapy is para-boronphenylalanine whose subcellular distribution in T98 glioblastoma cells was recently investigated. 369 Secondary ion mass spectrometry of glioblastoma  ...  GSSG Glutathione disulfide HCD Higher energy collision dissociation Topic included in the manuscript are marked with an asterisk (*).  ... 
doi:10.1021/cr300354g pmid:23570618 pmcid:PMC3676536 fatcat:3xuwqf2lpvcv3kuaoaas42oxje

a need to know

William A. Spencer, Larry R. Gettman, H. H. Bridge, Allan J. Ryan
1983 Physician and sportsmedicine  
Bayesian Spatial Model Selection Using Mixtures of G-Priors and Markov Random Field Priors for Identifying Gas Plumes in Hyperspectral Data-Biopharmaceutical Section, International Chinese Statistical  ...  Linking Image-Derived Radiophenotypes with Genomic Expression in Glioblastoma-FArvind Rao, MD Anderson Cancer Center 3:25 p.m.  ...  SOI continues to pursue high standards of quality and excellence in providing statistics that are relevant, timely, readily accessible, and understandable.  ... 
doi:10.1080/00913847.1983.11708423 pmid:27409254 fatcat:7rlbreoerngb3epmighz7l5vr4

Abstracts from the 2018 OAS Annual Meeting

The Ohio Academy of Science
2018 The Ohio journal of science  
model of the human brain in order to build models used for solving many problems, such as recognizing an image, grouping data into categories, or examining text.  ...  This study was designed to determine the effect of the complete removal of the ccr5 gene in human cells in vivo.  ...  qualify for lower rates.  ... 
doi:10.18061/ojs.v118i1.6338 fatcat:24esdpldjvhppbs7q5smhx6sbq
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