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Showing 41-60 of 6,769 results
  1. Brain Tumor Detection Using Deep Learning-Based R-CNN

    Medical image processing offers a difficult task of brain tumor detection. Deep learning-based techniques have recently demonstrated promising...
    Vuyyuru Asha, Muttavarapu Anusha, A. Gautami Latha in Advances in Data-Driven Computing and Intelligent Systems
    Conference paper 2024
  2. Brain Tumor Segmentation

    DIP for Medicinal examination is considered as a vital topic for artificial intelligent system. We are introducing a hybrid technique combining...
    Conference paper 2023
  3. Lung Cancer Detection Using Image Processing

    Conditions known as lung diseases have an impact on the respiratory system and lungs. It is commonly acknowledged that lung cancer is among the top...
    Conference paper 2024
  4. Evaluating the Role of IL-1β in Transmigration of Triple Negative Breast Cancer Cells Across the Brain Endothelium

    Introduction

    In vivo , breast cancer cells spend on average 3–7 days adhered to the endothelial cells inside the vascular lumen before entering the...

    Pedram Motallebnejad, Vinayak V. Rajesh, Samira M. Azarin in Cellular and Molecular Bioengineering
    Article 26 October 2021
  5. Engineering brain-on-a-chip platforms

    The increasing prevalence of neurological and psychiatric diseases, such as Alzheimer disease and schizophrenia, necessitates the development of new...

    Bram Servais, Negar Mahmoudi, ... David Collins in Nature Reviews Bioengineering
    Article 05 June 2024
  6. Interpretation of Brain Tumour Using Deep Learning Model

    Brain tumour analysis without human involvement is a crucial field of study. Convolutional neural networks, on the other hand, excelled at solving...
    Conference paper 2023
  7. A Novel Approach for Multiclass Brain Tumour Classification in MR Images

    Brain tumours are now one of the leading causes of mortality across all forms of cancer. MRI is the most frequently used tool for identifying brain...
    Sandipkumar Ramanlal Panchal, Brijeshkumar Y. Panchal, ... Arkesha Shah in Computational Intelligence for Clinical Diagnosis
    Chapter 2023
  8. Identification of Brain Tumor Using Deep Learning

    There is an increasing trend of people being diagnosed with brain tumors. The good news is that with the right treatment, most brain tumors can be...
    Conference paper 2023
  9. Imaging Radiomic-Driven Framework for Automated Cancer Investigation

    Gliomas are the most ceaseless fundamental tumors in adults that cause genuine damage to the central tactile framework. The less forceful types of...
    M. Sreekrishna, T. Prem Jacob in Artificial Intelligence on Medical Data
    Conference paper 2023
  10. Computer-aided detection and classification of brain tumor using YOLOv3 and deep learning

    The human brain has a complicated structure, making it difficult to diagnose any brain ailments, particularly when they affect important parts of the...

    Maibam Mangalleibi Chanu, Ngangbam Herojit Singh, ... Khelchandra Thongam in Soft Computing
    Article 23 May 2023
  11. Skin Cancer Detection with Metadata Using Deep Learning Strategies

    Nowadays, skin cancer became a common disease where every 3 in 100 people are affecting from skin cancer. Previously doctors used to detect the...
    Nagaraju Devarakonda, Manda Venkata Ramana Murthy, ... Pabbathi B. L. Shree Harsha in Advances in Communication and Applications
    Conference paper 2024
  12. Breast Cancer Prediction Using Hybrid Logistic Regression

    Breast cancer is more frequently diagnosed in women than in males, and it starts in the breast cells. Breast cancer frequently begins as a noticeable...
    Pachipala Yellamma, Vantipalli Harini Devi, ... Kakumanu Yasaswini in Multi-Strategy Learning Environment
    Conference paper 2024
  13. Artificial Intelligence for Enhancement of Brain Image Using Semantic Segmentation CNN with IoT Classification Techniques

    The brain tumor can be made by a wild increment of irregular cells in the brain’s tissue, and it has two sorts of tumors: one is kind, and another...
    Chapter 2023
  14. Deep Neural Ideal Networks for Brain Tumour Image Segmentation

    The automated segmentation of brain tumours utilizing multimodal magnetic resonance imaging (MRI) is crucial in researching and monitoring disease...
    Sadeq Thamer Hlama, Salam Abdulabbas Ghanim, ... Shaimaa Hadi Mohammed in Proceedings of Data Analytics and Management
    Conference paper 2023
  15. Classification of Brain Tumour Disease with Transfer Learning Using Modified Pre-trained Deep Convolutional Neural Network

    A brain tumour may be a fully overwhelming cancer condition due to the unregulated and peculiar cell division. The division of brain cells is what...
    Monika Agarwal, R. Rohan, ... K. Mohith in Data Science and Applications
    Conference paper 2024
  16. Comparison of Brain Tumor Detection Techniques by Using Different Machine Learning YOLO Algorithms

    Cell division that is out of control and aberrant leads to brain tumors. They can be developed in the brain as well as in the tissue of the lymphatic...
    Faria Tasnim, Md Tobibul Islam, ... Md Toufiqul Islam in Fourth Congress on Intelligent Systems
    Conference paper 2024
  17. Brain Tumor Classification Through MR Imaging: A Comparative Analysis

    Tumor in brain is one of the serious diseases throughout the world and it leads to death around 300 thousand people in 2020. Hence, Brain tumor...
    G . Prasanna Kumar, K. Kiran, ... Yallapu Srinivas in Cognitive Computing and Cyber Physical Systems
    Conference paper 2024
  18. A Unique Developmental Study in the Design of Point-of-Care Medical Diagnostic Device for Kidney Health Care of Metastatic Brain Cancer Patients to Avoid Chemotherapy Side-Effects

    A brain cancer metastatic treatment involves chemotherapy treatment. The chemotherapy shows its negative side effect on kidney health care of cancer...
    Sumedha N. Prabhu, Subhas C. Mukhopadhyay in Advances in Communication, Devices and Networking
    Conference paper 2022
  19. Deep Medical Imaging, Analysis the Brest Cancer Mammography

    Breast cancer is the most commonly diagnosed cancer in women both before and after menopause. One in nine women will be diagnosed with breast cancer...
    Conference paper 2024
  20. A Comprehensive Survey of Machine Learning Techniques for Brain Tumor Detection

    Cells in brain, which develop too quickly and uncontrollably, can lead to brain tumor. Early detection and treatment are crucial for the treatment....
    Mriga Jain, Brajesh Kumar Singh, Mohan Lal Kolhe in Advances in Data and Information Sciences
    Conference paper 2024
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