Zobrazeno 1 - 10
of 61 457
pro vyhledávání: '"tumor detection"'
Autor:
Dewage, Kavinda Ashan Kulasinghe Wasalamuni1 (AUTHOR) ashankulasinghe1110@gmail.com, Hasan, Raza1 (AUTHOR) bacha.rehman@solent.ac.uk, Rehman, Bacha1 (AUTHOR), Mahmood, Salman2 (AUTHOR) salman.mahmood@nhu.edu.pk
Publikováno v:
Information (2078-2489). Oct2024, Vol. 15 Issue 10, p653. 32p.
Autor:
Bhasin, Muskan1 (AUTHOR), Jain, Shivam1 (AUTHOR), Hoda, Faisal1 (AUTHOR), Dureja, Ajay1 (AUTHOR), Dureja, Aman2 (AUTHOR), Rathor, Rajkumar Singh3 (AUTHOR), Aldosary, Saad4 (AUTHOR), El-Shafai, Walid5 (AUTHOR) walid.elshafai@el-eng.menofia.edu.eg
Publikováno v:
Traitement du Signal. Jun2024, Vol. 41 Issue 3, p1575-1582. 8p.
Brain tumor detection in multiplane Magnetic Resonance Imaging (MRI) slices is a challenging task due to the various appearances and relationships in the structure of the multiplane images. In this paper, we propose a new You Only Look Once (YOLO)-ba
Externí odkaz:
http://arxiv.org/abs/2410.21822
Laryngo-pharyngeal cancer (LPC) is a highly lethal malignancy in the head and neck region. Recent advancements in tumor detection, particularly through dual-branch network architectures, have significantly improved diagnostic accuracy by integrating
Externí odkaz:
http://arxiv.org/abs/2410.21813
Autor:
Oh, Alice, Noh, Inyoung, Choo, Jian, Lee, Jihoo, Park, Justin, Hwang, Kate, Kim, Sanghyeon, Oh, Soo Min
Brain tumor detection and classification are critical tasks in medical image analysis, particularly in early-stage diagnosis, where accurate and timely detection can significantly improve treatment outcomes. In this study, we apply various statistica
Externí odkaz:
http://arxiv.org/abs/2410.12692
Artificial intelligence aids in brain tumor detection via MRI scans, enhancing the accuracy and reducing the workload of medical professionals. However, in scenarios with extremely limited medical images, traditional deep learning approaches tend to
Externí odkaz:
http://arxiv.org/abs/2410.11307
Uncontrolled cell division in the brain is what gives rise to brain tumors. If the tumor size increases by more than half, there is little hope for the patient's recovery. This emphasizes the need of rapid and precise brain tumor diagnosis. When it c
Externí odkaz:
http://arxiv.org/abs/2410.22619
Medical image classification is crucial for supporting healthcare professionals in decision-making and training. While Convolutional Neural Networks (CNNs) have traditionally dominated this field, Transformer-based models are gaining attention. In th
Externí odkaz:
http://arxiv.org/abs/2410.07613
Autor:
Zubair Rahman, A. M. J.1 (AUTHOR), Gupta, Muskan2 (AUTHOR), Aarathi, S.3 (AUTHOR), Mahesh, T. R.2 (AUTHOR), Vinoth Kumar, V.4 (AUTHOR), Yogesh Kumaran, S.2 (AUTHOR), Guluwadi, Suresh5 (AUTHOR) suresh.guluwadi@astu.edu.et
Publikováno v:
BMC Medical Informatics & Decision Making. 4/30/2024, Vol. 24 Issue 1, p1-19. 19p.
Laryngo-pharyngeal cancer (LPC) is a highly fatal malignant disease affecting the head and neck region. Previous studies on endoscopic tumor detection, particularly those leveraging dual-branch network architectures, have shown significant advancemen
Externí odkaz:
http://arxiv.org/abs/2408.05426