This survey examines the significant contributions of deep learning (DL) in the analysis of Magnetic Resonance Imaging (MRI) medical images for brain tumor detection. MRI is the preferred diagnostic tool for examining the brain's intricate structures. DL has emerged as a powerful tool for medical...
Deep learning models have been developed for various predictions in glioma; yet, they were constrained by manual segmentation, task-specific design, or a lack of biological interpretation. Herein, we aimed to develop an end-to-end multi-task deep learnin
Conducting a deep dive into {company}' proprietary technologies, including its robotics platforms, automation software, and AI capabilities 2. Assessing the uniqueness, scalability, and defensibility of {company}' technology stack and intellectual property 3. Comparing {company}' technologies to those ...
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This primary study tries to explore the best machine learning model of hyperparameter tuning using single, multiple, and deep neural networks for predicting engineering student grade of Pokhara University Nepal in the year 2019. Generally, hyperparameter algorithms are adjusted from the data sets autom...
(2007). Integrating technology into K-12 teaching and learning: Current knowledge gaps and recommendations for future research. Education Technology Research and Development, 55, 223–252. Article Google Scholar Hsu, S. (2010). Developing a scale for teacher integration of information and ...
In this study, we propose a two-stage computer vision framework for distinguishing enchondroma from low-grade chondrosarcoma using deep learning.Methods:Our team compiled a ground truth dataset of radiographic and histological images from the annotated records of Dr. Henry Jaffe, a pioneering ...
Deep Learning for Multi Grade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Surveydoi:10.3233/APC210059Sravya V JS Malathi
In this paper, we propose a novel convolutional neural network (CNN) based multi-grade brain tumor classification system. Firstly, tumor regions from an MR image are segmented using a deep learning technique. Secondly, extensive data augmentation is employed to effectively train the proposed system,...
Various deep learning-based techniques have recently been presented for identifying brain tumors in order to enhance theanalytic examination. The proposed research work outlinesan in-depth assessment of the research that has alreadybeen published, as well as current approaches based on deep learning ...