Saju Bhasi
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View article: Enhanced lung cancer detection: Integrating improved random walker segmentation with artificial neural network and random forest classifier
Enhanced lung cancer detection: Integrating improved random walker segmentation with artificial neural network and random forest classifier Open
Due to this, current research is now primarily concerned with identifying lung nodules and classifying them as benign or malignant. The diagnostic potential of machine learning as well as image processing approaches are enormous for the ca…
View article: Comparison of imaging modalities for the accurate delineation of arteriovenous malformations (AVM) and evaluation of setup accuracy with reference to non-invasive LINAC-based stereotactic radiosurgery (SRS)
Comparison of imaging modalities for the accurate delineation of arteriovenous malformations (AVM) and evaluation of setup accuracy with reference to non-invasive LINAC-based stereotactic radiosurgery (SRS) Open
Aims: To compare the accuracy of nidus delineation using magnetic resonance angiography (MRA) to digital subtraction angiography (DSA) and to evaluate setup accuracy of non-invasive frame SRS treatments. Settings and Design: A prospective …
View article: Lung Cancer Detection from CT Images: Modified Adaptive ThresholdSegmentation with Support Vector Machines and Artificial Neural NetworkClassifier
Lung Cancer Detection from CT Images: Modified Adaptive ThresholdSegmentation with Support Vector Machines and Artificial Neural NetworkClassifier Open
Background: The most difficult aspect of diagnosing lung cancer is early diagnosis. According to the American Cancer Society, each year, there are around 11 million newly diagnosed instances of cancer worldwide. Radiologists often turn to …
View article: Prediction and Classification of CT images for Early Detection of Lung Cancer Using Various Segmentation Models
Prediction and Classification of CT images for Early Detection of Lung Cancer Using Various Segmentation Models Open
One of the most serious and deadly diseases in the world is lung cancer. On the other hand, prompt diagnosis, as well as care, could save lives. Probably the most capable imaging method in the medical world, computed tomography (CT) scans …
View article: Unified Dosimetry Quality Audit Index: an integrated Monte Carlo model-based quality assurance ranking for radiotherapy treatment of glioblastoma multiforme
Unified Dosimetry Quality Audit Index: an integrated Monte Carlo model-based quality assurance ranking for radiotherapy treatment of glioblastoma multiforme Open
In the present research, we have developed a Unified Dosimetry Quality Audit Index (UDQAI) decision support system supplemented with treatment planning systems for radiation oncologists. This will aid the radiotherapy treatment of Glioblas…
View article: Impact of subventricular zone irradiation on outcome of patients with glioblastoma
Impact of subventricular zone irradiation on outcome of patients with glioblastoma Open
This retrospective study indicated a trend toward improved-albeit nonsignificant-survival with higher dose to the ipsilateral and contralateral SVZs. A well-designed prospective randomized study is required to identify patients who would b…
View article: Evaluation of plan quality metrics in stereotactic radiosurgery/radiotherapy in the treatment plans of arteriovenous malformations
Evaluation of plan quality metrics in stereotactic radiosurgery/radiotherapy in the treatment plans of arteriovenous malformations Open
The analysis shows that RTOG indices and EFOD would suffice for routine clinical radiosurgical treatment plan evaluation if a dose distribution is available for visual inspection.
View article: Radiosurgery for Arteriovenous Malformations Using Micro–Multi-leaf Collimators: Analyses of Outcome
Radiosurgery for Arteriovenous Malformations Using Micro–Multi-leaf Collimators: Analyses of Outcome Open
Aim To assess the outcome of patients with AVMs treated using micro-MLC–based radiosurgery at Regional Cancer Centre (RCC), Thiruvananthapuram. Materials and Methods During January 1 to December 31, 2012, 24 patients were treated with ster…