Conversion of images into numerical models to determine the condition of breast health on contralateral

Gunawan, Anak Agung Ngurah; Suhariningsih,; Triyono, Kuwat; Yasin, Moh Fahri

doi:10.12988/ams.2013.212669

Cited by 3 publications

(7 citation statements)

References 6 publications

(7 reference statements)

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“…For the analysis of data using logistic multinomial statistical tests. The research methods are using the study of probability by calculating the physical parameters on mammography images such as: [4,5,6,7,8].…”

Section: B Methodsmentioning

confidence: 99%

Determination of breast tumor BIRADS variant using physical parameter on the mammography X-ray film

Gunawan¹,

Wayan²

2016

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The research of the determination breast tumor BIRADS variant using the method of physical parameters on mammogram images are done. Usually, the radiology doctors to determine of BIRADS variant through out visual reading of mammograms. In this research a mathematical model to determine BIRADS variant by using the physical parameters on the mammogram images are derived. In previous studies for determining the stadium and histopathological types of breast cancer using mathematical models with physical parameters on mammogram images are obtained. The model have been tested on the mammogram 284 new patients at Sanglah Hospital and Denpasar Primamedika Hospital in Denpasar. The mathematical models had been determining the breast tumor BIRADS variant with 71.126% sensitivity are resulted. This article is better than in the previous article that uses fractal method, neural network and pattern, because the article is just able to detect the presence of microcalcification.

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Section: B Methodsmentioning

confidence: 99%

Determination of breast tumor BIRADS variant using physical parameter on the mammography X-ray film

Gunawan¹,

Wayan²

2016

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“…So the physical parameters between IDC and IDC histopathological types are also different. The relationship between the intensity of the radiation beam x-ray that comes with the passed are as follows [1,2,3] I t =I 0 e -μL (1) With I, I0, μ, and L is the intensity of each of the transmitted radiation, the radiation intensity at first, the linear absorption coefficient of materials, and material thickness.…”

Section: B Radiation Intensity With Breast Tumormentioning

confidence: 99%

“…As lack of uniformity (entropy), sharpness strukture variations (contrast), structural uniformity (angular second moment), the local homogeneity (inverse difference moment), linear dependence (correlation), authenticity properties (mean), density (deviation), lack of uniformity of the distribution of probability of occurrence gray-level pair at a certain distance (entropy of hdiff), structural uniformity of the distribution of probability of occurrence gray-level pair at a certain distance (angular second moment of hdiff) and the nature of the authenticity of the pair probability distribution of gray-level events at a certain distance (mean hdiff) as follows: [1,2,3,4] (2)…”

Section: The Physical Parameters In the Histopathological Type Of mentioning

confidence: 99%

“…With yq, yr, d are the first pixel gray-level values, the second pixel gray-level values and the distance between the first pixel to the second pixel respectively. H (yq, yr, d) is second-order histogram that describes the distribution of the event probability for a gray-level pair [1,2,3,4 ].…”

Section: The Physical Parameters In the Histopathological Type Of mentioning

confidence: 99%

“…Review the logistic function (logit) the following: [1,2,3 ] Readability increase of mammography x-ray photos results…”

Section: Logistic Mapping Functionmentioning

confidence: 99%

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Readability increase of mammography x-ray photos results in determining the breast cancer histopathology types using special pattern cropping with physical parameter

Agung¹,

Gunawan²,

Supardi³

et al. 2014

aap

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The research had determined the type of infiltrating ductal carcinoma histopathology (IDC) and infiltrating lobuler carcinoma (ILC) using specific cropping pattern with physical parameters. Physical parameters have a great potential to differ types of histopathological IDC and ILC.,Usually, the scientists have developed a method of fine needle biobsi to determine the types of histopathological IDC and ILC. In previous studies we have been able to determine the type of histopathology IDC and ILC with a sensitivity of 86.36%. In this research, we have succeeded in increasing the sensitivity of the determination of the type of histopathology using IDC and ILC particular cropping pattern with physical parameter of 97.5%. The special cropping pattern with physical parameters method are used in this research.

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Secretory Carcinoma of the Breast in a 24-Year-Old Woman: A Case Report

Fadhilaturrahmi¹,

Delyuzar²

2022

Gac Méd Caracas

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Secretory carcinoma of the breast is a rare invasive carcinoma. This carcinoma shows more aggressive symptoms in older patients. In a reported case of a 24-year-old woman with a mass in her right breast, the histopathologic features consisted of tumor cell proliferation and most of it came in tubular and microcystic structures. The cell nuclei enlarged into a round and oval shape. The chromatin was coarse and came with some protuberant nucleus, foamy, and slightly granular eosinophilic cytoplasm.

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Conversion of images into numerical models to determine the condition of breast health on contralateral

Cited by 3 publications

References 6 publications

Determination of breast tumor BIRADS variant using physical parameter on the mammography X-ray film

Determination of breast tumor BIRADS variant using physical parameter on the mammography X-ray film

Readability increase of mammography x-ray photos results in determining the breast cancer histopathology types using special pattern cropping with physical parameter

Secretory Carcinoma of the Breast in a 24-Year-Old Woman: A Case Report

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