Survey on Identification Tools for Hepatocellular Carcinoma- A Review

Rajesh, Gopinath; Priyadharson, A. Selwin Mich

doi:10.9734/arrb/2018/37827

Cited by 4 publications

(1 citation statement)

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“…The US images of soft tissue in human body are corrupted due to several noises such as additive noise, US device noise, multiplicative noise (speckle) etc. However, the effect of granular or speckle noise is foremost in terms of visual quality of US images [2,11]. Speckle noise degrades the quality of the image.…”

Section: Introductionmentioning

confidence: 99%

Improved Despeckle Filtering Technique for Liver Cirrhosis US Images

Rajesh¹,

Priyadharson²

2018

IJET

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The liver ultrasonic (US) images suffer from inherent speckle noise, degrading the image quality; thereby, affecting human interpretation and also reducing the accuracy in computer-assisted diagnostic techniques. In this paper, we propose an improved despeckle filtering technique by combining, maximum homogeneity over a pixel neighborhood filtering (MHON) and speckle-reducing anisotropic diffusion filtering (SRAD) using a binary classifier map (BCM). The textural and fine details of residual image are denoised by SRAD filtering. The SRAD filter denoised image and MHON filter denoised image combines to attain BCM. A BCM is generated by examining the local coefficient of dispersion (CoD) assessed using a kernel with the one obtained from a specific region. The proposed method is evaluated on clinical US image set of liver, by assessing the quality factors PSNR, SNR, ISC, LMSE and EPI. Results are compared with specified algorithms separately while accomplishing for proposed method.

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Section: Introductionmentioning

confidence: 99%

Improved Despeckle Filtering Technique for Liver Cirrhosis US Images

Rajesh¹,

Priyadharson²

2018

IJET

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Chronic kidney disease: a prediction and comparison of ensemble and basic classifiers performance

Chaurasia

Pandey

Pal

2022

Hum.-Intell. Syst. Integr.

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Holsteinization results of Russian Black Pied cattle

et al. 2021

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Holsteinized Russian Black Pied cattle of the Ural type are bred in the Sverdlovsk region, which is represented by large, highly productive animals with a high genetic potential for productivity. The aim of the study was study holsteinization results of Russian Black Pied cattle in one of the pedigree reproducers of the Sverdlovsk region. Over the past 20 years, there have been significant changes in the rearing heifers’ raising intensity; their live weight at the first insemination increased and their age decreased. In terms of live weight at the first insemination, there was an increase from 2006 to 2013 to over 400 kg; then, when switching to early insemination terms, there was a decrease in live weight to 390 kg. The age of first insemination has decreased since 2000 from 20.2 months to 14.4 months in 2018. An inversely proportional dependence of the milk yield of first heifers on the age of the rearing heifers’ first insemination has been established. An increase in milk yield occurs with a decrease in the age of the first insemination and vice versa, an increase in the age of heifers’ first insemination is observed with a decrease in milk yield. Moreover, this also happened when raising both hybrid heifers and heifers of the new Ural type of Holsteinized Russian Black Pied cattle.

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Survey on Identification Tools for Hepatocellular Carcinoma- A Review

Cited by 4 publications

References 0 publications

Improved Despeckle Filtering Technique for Liver Cirrhosis US Images

Improved Despeckle Filtering Technique for Liver Cirrhosis US Images

Chronic kidney disease: a prediction and comparison of ensemble and basic classifiers performance

Holsteinization results of Russian Black Pied cattle

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