Hyperspectral imaging for tumor detection in the resection surface of fresh lumpectomy specimens (Conference Presentation)

2019 ◽  
Author(s):  
Esther Kho ◽  
Lisanne L. de Boer ◽  
Koen K. Van de Vijver ◽  
Henricus J. C. M. Sterenborg ◽  
Theo J. M. Ruers
Keyword(s):  
Hyperspectral Imaging ◽  
Tumor Detection

scholarly journals Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning

2020 ◽  
Vol 11 (3) ◽  
pp. 1383 ◽  
Author(s):  
Martin Halicek ◽  
James D. Dormer ◽  
James V. Little ◽  
Amy Y. Chen ◽  
Baowei Fei
Keyword(s):  
Deep Learning ◽  
Salivary Glands ◽  
Hyperspectral Imaging ◽  
Tumor Detection

scholarly journals Broadband hyperspectral imaging for breast tumor detection using spectral and spatial information

2019 ◽  
Vol 10 (9) ◽  
pp. 4496 ◽  
Author(s):  
Esther Kho ◽  
Behdad Dashtbozorg ◽  
Lisanne L. de Boer ◽  
Koen K. Van de Vijver ◽  
Henricus J. C. M. Sterenborg ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Breast Tumor ◽  
Spatial Information ◽  
Tumor Detection

Hyperspectral Imaging Remote Sensing

2016 ◽  
Author(s):  
Dimitris Manolakis ◽  
Ronald Lockwood ◽  
Thomas Cooley
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Imaging

Clinical Evaluation of Radio-Labelled Bleomycin for Tumor Detection

1978 ◽  
Vol 17 (06) ◽  
pp. 238-248
Author(s):  
H. Beekhuis ◽  
M.A.P.C. van de Poll ◽  
A. Versluis ◽  
H. Jurjens ◽  
M.G. Woldring ◽  
...  
Keyword(s):  
Clinical Evaluation ◽  
Acidic Solution ◽  
Tumor Detection ◽  
Neutral Solution ◽  
Normal Tissues ◽  
Patients With Cancer ◽  
Tumor Bearing

Investigations with bleomycin labelled with radionuclides other than 57Co in patients with cancer and in tumor-bearing animals are described. In patients 57Co-bleo appears to be a better tumor-seeking radiopharmaceutical than 111In-bleo, 99mTc-bleo or 197Hg-bleo. This can be explained by a higher stability in vivo and a better tumor-seeking property of 57Co-bleo and less disturbing activity in the cardiac pool and in bone and other normal tissues when assessing the scintigram.Results with 111In-bleo labelled in acidic solution are not essentially different from those with 111In-bleo labelled in neutral solution.Results of 197Hg-bleo are almost identical with those of 197HgCl2 regarding the tumor-seeking effect as well as the distribution in normal tissues and organs. Probably the complex of 197Hg to bleomycin is not stable in vivo. The superiority of 57Co-bleo over 99mTc-bleo, 197Hg-bleo and also over 67Cu-bleo is confirmed by experiments on tumor bearing animals.We may conclude that the indication for use of bleomycin as a tumor-seeking pharmaceutical labelled with 111In, 99mTc, 197Hg or 67Cu seems to be very limited.

Integrated Approach For Bone Tumor Detection From Mri Scan Imagery

2019 ◽  
Vol 7 (4) ◽  
pp. 324-325
Author(s):  
Mrs. V.P. Krishnammal ◽  
Firosha S Fathima ◽  
Jills P Mathew ◽  
Preethi kalyani M. ◽  
V Shiva Shankari
Keyword(s):  
Bone Tumor ◽  
Integrated Approach ◽  
Tumor Detection ◽  
Mri Scan

A Survey on Detection and Classification of Brain Tumor Using Image Processing Techniques

2020 ◽  
pp. 967-973
Author(s):  
V. Deepika ◽  
T. Rajasenbagam
Keyword(s):  
Image Processing ◽  
Brain Tumor ◽  
Soft Tissues ◽  
Tumor Detection ◽  
Tumor Classification ◽  
Normal Brain ◽  
Image Processing Techniques ◽  
Normal Brain Function ◽  
Processing Techniques ◽  
The Brain

A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques.

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