Výsledky vyhledávání - "Manish Kakar"

Artificial Neural Networks for Prediction of Response to Chemoradiation in HT29 Xenografts

Autor: Dag Rune Olsen, Therese Seierstad, Kathrine Røe, Manish Kakar

Publikováno v: International Journal of Radiation Oncology*Biology*Physics. 75:506-511

To evaluate the feasibility of using neural networks for predicting treatment response by using longitudinal measurements of apparent diffusion coefficient (ADC) obtained from diffusion-weighted magnetic resonance imaging (DWMRI).Mice bearing HT29 xe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f98f5747ded06bd402c1f663e50ecc5
https://doi.org/10.1016/j.ijrobp.2009.05.036

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Respiratory motion prediction by using the adaptive neuro fuzzy inference system (ANFIS)

Autor: Dag Rune Olsen, Manish Kakar, Trine J. Nøttrup, Håkan Nyström, Lasse Rye Aarup

Publikováno v: Physics in Medicine and Biology. 50:4721-4728

The quality of radiation therapy delivered for treating cancer patients is related to set-up errors and organ motion. Due to the margins needed to ensure adequate target coverage, many breast cancer patients have been shown to develop late side effec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ec6e969513dbb97024e30899d15822f
https://doi.org/10.1088/0031-9155/50/19/020

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Automated counting of mammalian cell colonies by means of a flat bed scanner and image processing

Autor: Olav Kaalhus, Harald Steen, Jostein Dahle, Manish Kakar

Publikováno v: Cytometry. :182-188

Background Clonogenic assays are used frequently to measure the cell killing and mutagenic effects of radiation and other agents. Clonogenic assays carried out manually are tedious and time-consuming and involve a significant element of subjectivity.

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https://doi.org/10.1002/cyto.a.20038

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Extracting Fuzzy Classification Rules from Texture Segmented HRCT Lung Images

Autor: Arianna Mencattini, Marcello Salmeri, Manish Kakar

Automatic tools for detection and identification of lung and lesion from high-resolution CT (HRCT) are becoming increasingly important both for diagnosis and for delivering high-precision radiation therapy. However, development of robust and interpre

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https://europepmc.org/articles/PMC3597946/

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Automatic segmentation and recognition of lungs and lesion from CT scans of thorax

Autor: Dag Rune Olsen, Manish Kakar

Publikováno v: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 33(1)

In this study, a fully automated texture-based segmentation and recognition system for lesion and lungs from CT of thorax is presented. For the segmentation part, we have extracted texture features by Gabor filtering the images, and, then combined th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9110f140e1718b98ce526f07ad24f172
https://pubmed.ncbi.nlm.nih.gov/19059759

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149 Prediction of response to cancer therapy from functional magnetic resonance image parameters – an artificial neural network approach

Autor: Anne Hansen Ree, Therese Seierstad, Dag Rune Olsen, Kathrine Røe, Manish Kakar

Publikováno v: European Journal of Cancer Supplements. 8:39-40

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0cad4547f2007565f4a23601f094b629
https://doi.org/10.1016/s1359-6349(10)70957-5

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181 Adaptive neuro fuzzy inference system (ANFIS) for prediction of respiratory motion Wednesday, September 28, 2005

Autor: T.J. Nottrup, Lasse Rye Aarup, Dag Rune Olsen, Manish Kakar, Håkan Nyström

Publikováno v: Radiotherapy and Oncology. 76:S91-S92

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0e2af3cca771d2e6c8c294d50dd9af34
https://doi.org/10.1016/s0167-8140(05)81158-2

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MO-E-330A-03: Automated Texture Based CT Segmentation by Gabor Filtering and Fuzzy Clustering

Autor: Olsen, Øs Bruland, Manish Kakar, Håkan Nyström, T.J. Nottrup

Publikováno v: Medical Physics. 33:2170-2170

Purpose: To automate segmentation of lesion and organs at risk in lung patients by using Gabor filtering and fuzzy clustering for 4D CTimage data and to check the usefulness of segmentation by using these methods. Method and Materials:Image was pre�

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https://doi.org/10.1118/1.2241451

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Early prediction of response to radiotherapy and androgen-deprivation therapy in prostate cancer by repeated functional MRI: a preclinical study

Autor: Anne Hansen Ree, Manish Kakar, Kathrine Røe, Dag Rune Olsen, Therese Seierstad

Publikováno v: Radiation Oncology; Vol 6
Radiation Oncology (London, England)
Radiation Oncology, Vol 6, Iss 1, p 65 (2011)

Background In modern cancer medicine, morphological magnetic resonance imaging (MRI) is routinely used in diagnostics, treatment planning and assessment of therapeutic efficacy. During the past decade, functional imaging techniques like diffusion-wei

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