20.7.2.6 Tuberculosis Analysis, Tuberculosis Bacilli

Chapter Contents (Back)
Chest X-Ray. Medical, Applications. Tuberculosis.

Forero, M.G.[Manuel G.], Sroubek, F.[Filip], Cristóbal, G.[Gabriel],
Identification of tuberculosis bacteria based on shape and color,
RealTimeImg(10), No. 4, August 2004, pp. 251-262.
WWW Link. 0410
BibRef

Xu, T.[Tao], Cheng, I.[Irene], Long, R.[Richard], Mandal, M.[Mrinal],
Novel coarse-to-fine dual scale technique for tuberculosis cavity detection in chest radiographs,
JIVP(2012), No. 1, 2013, pp. 3.
DOI Link 1302
BibRef

Jaeger, S., Karargyris, A., Candemir, S., Folio, L., Siegelman, J., Callaghan, F., Xue, Z.Y.[Zhi-Yun], Palaniappan, K., Singh, R.K., Antani, S., Thoma, G., Wang, Y.X.[Yi-Xiang], Lu, P.X.[Pu-Xuan], McDonald, C.J.,
Automatic Tuberculosis Screening Using Chest Radiographs,
MedImg(33), No. 2, February 2014, pp. 233-245.
IEEE DOI 1403
diagnostic radiography BibRef

Ayas, S.[Selen], Ekinci, M.[Murat],
Random forest-based tuberculosis bacteria classification in images of ZN-stained sputum smear samples,
SIViP(8), No. S1, December 2014, pp. 49-61.
WWW Link. 1411
BibRef

Melendez, J., van Ginneken, B., Maduskar, P., Philipsen, R.H.H.M., Reither, K., Breuninger, M., Adetifa, I.M.O., Maane, R., Ayles, H., Sanchez, C.I.,
A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays,
MedImg(34), No. 1, January 2015, pp. 179-192.
IEEE DOI 1502
diagnostic radiography BibRef

Melendez, J., van Ginneken, B., Maduskar, P., Philipsen, R.H.H.M., Ayles, H., Sánchez, C.I.,
On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis,
MedImg(35), No. 4, April 2016, pp. 1013-1024.
IEEE DOI 1604
diagnostic radiography BibRef

Hogeweg, L., Sanchez, C.I., Maduskar, P., Philipsen, R., Story, A., Dawson, R., Theron, G., Dheda, K., Peters-Bax, L., van Ginneken, B.,
Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis,
MedImg(34), No. 12, December 2015, pp. 2429-2442.
IEEE DOI 1601
diagnostic radiography BibRef

Xu, C.[Chao], Zhou, D.X.[Dong-Xiang], Guan, T.[Tao], Zhai, Y.P.[Yong-Ping], Liu, Y.H.[Yun-Hui],
Automatic Recognition of Mycobacterium Tuberculosis Based on Active Shape Model,
IEICE(E99-D), No. 4, April 2016, pp. 1162-1171.
WWW Link. 1604
BibRef

Santosh, K.C., Antani, S.,
Automated Chest X-Ray Screening: Can Lung Region Symmetry Help Detect Pulmonary Abnormalities?,
MedImg(37), No. 5, May 2018, pp. 1168-1177.
IEEE DOI 1805
Feature extraction, Histograms, Image edge detection, Lungs, Shape, Sociology, Automation, chest X-rays, lung region symmetry, tuberculosis BibRef

Chithra, R.S., Jagatheeswari, P.,
Fractional crow search-based support vector neural network for patient classification and severity analysis of tuberculosis,
IET-IPR(13), No. 1, January 2019, pp. 108-117.
DOI Link 1812
BibRef

Mithra, K.S., Emmanuel, W.R.S.[W. R. Sam],
Automated identification of mycobacterium bacillus from sputum images for tuberculosis diagnosis,
SIViP(13), No. 8, November 2019, pp. 1585-1592.
WWW Link. 1911
BibRef


Seyedalizadeh, N., Alesheikh, A.A., Ahmadkhani, M.,
Spatio-statistical Modeling of Human Brucellosis Using Environmental Parameters: a Case Study of Northern Iran,
SMPR19(969-973).
DOI Link 1912
BibRef

El-Melegy, M.[Moumen], Mohamed, D.[Doaa], ElMelegy, T.[Tarek],
Automatic Detection of Tuberculosis Bacilli from Microscopic Sputum Smear Images Using Faster R-CNN, Transfer Learning and Augmentation,
IbPRIA19(I:270-278).
Springer DOI 1910
BibRef

Liu, C., Cao, Y., Alcantara, M., Liu, B., Brunette, M., Peinado, J., Curioso, W.,
TX-CNN: Detecting tuberculosis in chest X-ray images using convolutional neural network,
ICIP17(2314-2318)
IEEE DOI 1803
Computational modeling, Convolutional neural networks, Machine learning, Medical diagnostic imaging, Training, tuberculosis diagnosis BibRef

Sharma, U.[Utkarsh], Lall, B.[Brejesh],
Computer Aided Diagnosis of Pleural Effusion in Tuberculosis Chest Radiographs,
CIAP17(I:617-625).
Springer DOI 1711
BibRef

Makkapati, V.V.[Vishnu V.], Agrawal, R.[Ravindra], Acharya, R.[Raviraja],
Segmentation and classification of tuberculosis bacilli from ZN-stained sputum smear images,
CASE09(217-220).
WWW Link. 0908
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Ribs, Chest X-Rays .


Last update:Jul 7, 2020 at 12:20:58