Authors : Jaya Shrivastav , Dr. Ranu Pandey DOI : 10.46335/IJIES.2024.9.6.21 Article Link Abstract – Lung cancer continues to be one of the most lethal malignancies worldwide, primarily due to its late-stage detection and the complexity of accurate diagnosis using traditional methods. Early diagnosis significantly enhances treatment outcomes, yet current clinical practices, which often rely […]
READ MOREAuthors : Jaya Shrivastav, Dr. Ranu Pandey DOI : 10.46335/IJIES.2025.10.4.16 Article Link Abstract – Lung cancer continues to be one of the deadliest cancers globally, with early detection playing a critical role in improving survival rates. In this work, we present an advanced deep learning framework for lung cancer segmentation using an Attention-Enhanced U-Net architecture […]
READ MOREAuthors : Mrs.Snehal S. Golait , Dr.L.G. Malik, Prof.A.Thomas Abstract –Segmentation phase plays vital role in any handwritten script Identification system. Aside from the large variation of individual’s handwriting, many researchers found difficulty to separate characters from the captured text document Image. The key factor of selection of segmentation algorithm is used to improve efficiency […]
READ MOREAuthors: Prof. Nagraj Dixit, Prof. Pankaj Firake Abstract – Objective: This study describes the Thermo-Mechanical analysis of restored molar tooth crown for determination of the stress levels due to thermal and mechanical loads on restored molar tooth using Finite Element Analysis on 3-D model generated using MIMICS 9.11. Methods: A molar tooth was digitized with […]
READ MOREAuthors : Mitul Soni, Divya Barai,Bhumika Wadafale, Snehal Jangade Abstract– Segmentation is a difficult and challenging problem in the MRI images, and it is very important in computer application and artificial intelligence. Image segmentation is the partition of an image into several regions of interest such that the contents of each region have similar characteristics. This […]
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