20.4.4.1 Blood Cell Cancers, Lymphoma, Leukemia

Chapter Contents (Back)
Cells. Blood Cells. Lymphoma.

Landeweerd, G.H., Gelsema, E.S., Bins, M., Halie, M.R.,
Interactive pattern recognition of blood cells in malignant lymphomas,
PR(14), No. 1-6, 1981, pp. 239-244.
WWW Link. 0309
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Olson, G.B.[George B.], Bartels, P.H.[Peter H.],
Computer discrimination of splenocytes and peripheral blood lymphocytes from mice infected with friend murine leukemia virus,
PR(13), No. 1, 1981, pp. 57-64.
WWW Link. 0309
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Aus, H.M., Harms, H., Haucke, M., Beritova, J., ter Meulen, V., Gunzer, U., Baumann, I., Abmayr, W.,
Statistical Evaluation of Computer Markers to Detect Leukemias,
PRL(4), 1986, pp. 231-241. BibRef 8600

Firestone, L.M., Preston, K., Nathwani, B.N.,
Continuous Class Pattern-Recognition for Pathology, with Applications to Non-Hodgkins Follicular Lymphomas,
PR(29), No. 12, December 1996, pp. 2061-2078.
WWW Link. 9701
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Yeh, J.R., Lin, C.W., Shieh, J.S.,
An Approach of Multiscale Complexity in Texture Analysis of Lymphomas,
SPLetters(18), No. 4, April 2011, pp. 239-242.
IEEE DOI 1103
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Dimitropoulos, K.[Kosmas], Michail, E.[Emmanouil], Koletsa, T.[Triantafyllia], Kostopoulos, I.[Ioannis], Grammalidis, N.[Nikos],
Using adaptive neuro-fuzzy inference systems for the detection of centroblasts in microscopic images of follicular lymphoma,
SIViP(8), No. S1, December 2014, pp. 33-40.
Springer DOI 1411
BibRef

Bozkurt, A.[Alican], Suhre, A.[Alexander], Cetin, A.E.[A. Enis],
Multi-scale directional-filtering-based method for follicular lymphoma grading,
SIViP(8), No. S1, December 2014, pp. 63-70.
WWW Link. 1411
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And: Erratum: SIViP(8), No. S1, December 2014, pp. 71.
WWW Link. 1411
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Dimitropoulos, K.[Kosmas], Barmpoutis, P.[Panagiotis], Kostopoulos, I.[Ioannis], Grammalidis, N.[Nikos],
Automated detection and classification of nuclei in PAX5 and H&E-stained tissue sections of follicular lymphoma,
SIViP(11), No. 1, January 2017, pp. 145-153.
WWW Link. 1702
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Nava, R., González, G., Kybic, J., Escalante-Ramírez, B.,
Characterization of hematologic malignancies based on discrete orthogonal moments,
IPTA16(1-6)
IEEE DOI 1703
blood BibRef

Martinez-Martinez, F., Kybic, J., Lambert, L.,
Automatic detection of bone marrow infiltration by multiple myeloma detection in low-dose CT,
ICIP15(4813-4817)
IEEE DOI 1512
Myeloma; automatic; detection; infiltration; scalloping BibRef

Sarrafzadeh, O.[Omid], Rabbani, H.[Hossein], Dehnavi, A.M.[Alireza Mehri], Talebi, A.[Ardeshir],
Detecting different sub-types of acute myelogenous leukemia using dictionary learning and sparse representation,
ICIP15(3339-3343)
IEEE DOI 1512
Bone Marrow Microscopic Image BibRef

Di Ruberto, C.[Cecilia], Fodde, G.[Giuseppe], Putzu, L.[Lorenzo],
On Different Colour Spaces for Medical Colour Image Classification,
CAIP15(I:477-488).
Springer DOI 1511
BibRef
Earlier:
Comparison of Statistical Features for Medical Colour Image Classification,
CVS15(3-13).
Springer DOI 1507
BibRef
Earlier: A1, A3, Only:
Investigation of Different Classification Models to Determine the Presence of Leukemia in Peripheral Blood Image,
CIAP13(I:612-621).
Springer DOI 1311
BibRef

Vincent, I., Kwon, K.R.[Ki-Ryong], Lee, S.H.[Suk-Hwan], Moon, K.S.[Kwang-Seok],
Acute lymphoid leukemia classification using two-step neural network classifier,
FCV15(1-4)
IEEE DOI 1506
cancer BibRef

Desbordes, P., Petitjean, C., Ruan, S.[Su],
3D automated lymphoma segmentation in PET images based on cellular automata,
IPTA14(1-6)
IEEE DOI 1503
cellular automata BibRef

Labati, R.D.[Ruggero Donida], Piuri, V.[Vincenzo], Scotti, F.[Fabio],
All-IDB: The acute lymphoblastic leukemia image database for image processing,
ICIP11(2045-2048).
IEEE DOI 1201
BibRef

Wang, J.Y.[Ji-Yong], Xia, Y.[Yong], Wang, J.[Jiabin], Feng, D.D.,
Variational Bayes Inference Based Segmentation of Heterogeneous Lymphoma Volumes in Dual-Modality PET-CT Images,
DICTA11(274-278).
IEEE DOI 1205
BibRef

Sertel, O.[Olcay], Catalyurek, U.V.[Umit V.], Lozanski, G.[Gerard], Shanaah, A.[Arwa], Gurcan, M.N.[Metin N.],
An Image Analysis Approach for Detecting Malignant Cells in Digitized H&E-stained Histology Images of Follicular Lymphoma,
ICPR10(273-276).
IEEE DOI 1008
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Surveys, Comparisons, Cells, DNA .


Last update:Nov 11, 2017 at 13:31:57