[HTML][HTML] Advancements in deep learning techniques for brain tumor segmentation: a survey
The escalating incidence of accurate detection of brain tumors within the discipline of neuro-
oncology underscores the pressing demand for enhanced diagnostic methodologies. The …
oncology underscores the pressing demand for enhanced diagnostic methodologies. The …
Harnessing Learn Rate Schedule for Adaptive Deep Learning in LoRaWAN-IoT Localization.
The learning rate is one of the most crucial hyper-parameters to regulate during the training
of the Deep Learning (DL) models and optimizers. Adaptive learning rate algorithms try to …
of the Deep Learning (DL) models and optimizers. Adaptive learning rate algorithms try to …
[PDF][PDF] Enhancing the Accuracy of 3D Brain MRI Reconstruction via Super Resolution by Utilizing Residual Variational Autoencoder.
To improve the quality of a medical image, it is essential to employ equipment that is
equipped with a higher-intensity magnetic field. This poses unique challenges for healthcare …
equipped with a higher-intensity magnetic field. This poses unique challenges for healthcare …
A Detailed Review on Brain Image Segmentation using Deep Learning Algorithms
MB Suvarna, T Gonal, BM Gowri… - … Transactions on Medical …, 2024 - milestoneresearch.in
The need for a better method of diagnosis is essential, as evidenced by the increasing
incidence of accurate brain tumour identification in the field of neuro-oncology. The existing …
incidence of accurate brain tumour identification in the field of neuro-oncology. The existing …