Overview of multi-modal brain tumor mr image segmentation
The precise segmentation of brain tumor images is a vital step towards accurate diagnosis
and effective treatment of brain tumors. Magnetic Resonance Imaging (MRI) can generate …
and effective treatment of brain tumors. Magnetic Resonance Imaging (MRI) can generate …
Nanoscale imaging technique for accurate identification of brain tumor contour using NBDS method
K Vijila Rani, S Joseph Jawhar… - Journal of Ambient …, 2021 - Springer
Brain tumor identification is a difficult task in the processing of diagnostic images and a great
deal of research is being performed. Normally, the doctor can evaluate their condition …
deal of research is being performed. Normally, the doctor can evaluate their condition …
Automated Multimodal Brain Tumor Segmentation and Localization in MRI Images Using Hybrid Res2-UNeXt
The early diagnosis and precise localization of brain tumors are vital for improving and
saving patients' lives. In the realm of medical image analysis, a pressing challenge is to …
saving patients' lives. In the realm of medical image analysis, a pressing challenge is to …
SEGMENTATION OF MRI IMAGES USING A COMBINATION OF ACTIVE CONTOUR MODELING AND MORPHOLOGICAL PROCESSING
SK Veeramalla, V Hindumathi, TV Reddy… - Journal of Mechanics …, 2023 - World Scientific
Image segmentation in brain magnetic resonance imaging (MRI) largely relates to dividing
brain tissue into components like white matter (WM), gray matter (GM), and cerebrospinal …
brain tissue into components like white matter (WM), gray matter (GM), and cerebrospinal …
CT-γ-Net: A Hybrid Model Based on Convolutional Encoder-Decoder and Transformer Encoder for Brain Tumor Localization
Brain tumor is a life-threatening disease, and its early diagnosis can save human life.
Computer-aided brain tumor segmentation and localization in magnetic resonance imaging …
Computer-aided brain tumor segmentation and localization in magnetic resonance imaging …
Segmentation of mammogram images using level set with Cuckoo search optimisation
BR GR, HP Kumar - Computer Methods in Biomechanics and …, 2023 - Taylor & Francis
Breast cancer is alone accounted for 30% of all new cancer diagnoses for women. Early
identification of breast cancer is a key stage in the process of diagnosis and treatment …
identification of breast cancer is a key stage in the process of diagnosis and treatment …
Fuzzy active contour model using fractional-order diffusion based edge indicator and fuzzy local fitted image
H Lv, F Zhang, R Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Local region-based active contour models (ACMs) can effectively segment images corrupted
by intensity inhomogeneity, however, they always converge to local minimum and are …
by intensity inhomogeneity, however, they always converge to local minimum and are …
Benign and Malignant Brain Tumor Segmentation Using a Melody-Search Optimization Algorithm with an Extreme Softplus Learning
NB Muppalaneni, J Jasper - 2022 IEEE Silchar Subsection …, 2022 - ieeexplore.ieee.org
Brain tumor is a terrible disease that affects people worldwide. The main reason behind the
growth of brain tumors is the uncontrolled and abnormal development of cells in the brain …
growth of brain tumors is the uncontrolled and abnormal development of cells in the brain …
Image segmentation based on active contour in chest X-ray image
S Oktamuliani, Y Saijo - AIP Conference Proceedings, 2024 - pubs.aip.org
Chest X-ray (CXR) imaging is often used to diagnose pneumonia caused by COVID-19. The
advantage of CXR is that it is cheap, fast, widespread, and uses less radiation. Studies of …
advantage of CXR is that it is cheap, fast, widespread, and uses less radiation. Studies of …