Browsing by Author "Dakua, Sarada Prasad"
Now showing items 1-5 of 5
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Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review
( IEEE Xplore , 2024 , Article)Ultrasound (US) is generally preferred because it is of low-cost, safe, and non-invasive. US image segmentation is crucial in image analysis. Recently, deep learning-based methods are increasingly being used to segment US ... -
Development of a flexible liver phantom for hepatocellular carcinoma treatment planning: a useful tool for training & education
( BioMed Central Ltd , 2024 , Article)Purpose: Hepatocellular carcinoma (HCC) is one of the most common types of liver cancer that could potentially be surrounded by healthy arteries or veins that a surgeon would have to avoid during treatment. A realistic 3D ... -
An Insight Into Unveiling Nano Luminescence for Industrial Dye Detection
( Springer Nature , 2025 , Article)Dye, a major contaminant from the textile, paper, and pulp industries, is a serious environmental and human health hazard. Because of their low cost, environmental friendliness, and sustainability, semiconductor nanoparticles ... -
A lightweight neural network with multiscale feature enhancement for liver CT segmentation
( Nature Research , 2022 , Article)Segmentation of abdominal Computed Tomography (CT) scan is essential for analyzing, diagnosing, and treating visceral organ diseases (e.g., hepatocellular carcinoma). This paper proposes a novel neural network (Res-PAC-UNet) ... -
Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment
( Elsevier , 2025 , Article)Point of departure (POD) is a concept used in risk assessment to calculate the reference dose of exposure that is likely to have no appreciable risk on health. POD can be directly utilized from no observed adverse effect ...
