State-of-the-art in 1D Convolutional Neural Networks: A survey
Deep learning architectures have brought about new heights in computer vision, with the
most common approach being the Convolutional Neural Network (CNN). Through CNN …
most common approach being the Convolutional Neural Network (CNN). Through CNN …
Deep learning based 3D multimodal CNN for brain tumor segmentation and detection
Brain tumors present a significant challenge to healthcare professionals and can impact
individuals of any age. Despite advancements in medicine, early detection and effective …
individuals of any age. Despite advancements in medicine, early detection and effective …
Segmentation of Tumor for 3D Brain MR Images Using FBB
V Goutham, B Naveen… - 2024 Second International …, 2024 - ieeexplore.ieee.org
An extremely challenging and significant work that is used in surgical and medical planning
and evaluations is the segmentation of brain tumors using MRI images. It will take a lot of …
and evaluations is the segmentation of brain tumors using MRI images. It will take a lot of …
TL-AttSharpNet: Automated Lung Image Segmentation using Transfer Learning with Depthwise Convolution and Attention
The global community has recently been impacted by the COVID-19 pandemic, regarded as
the biggest public health emergency the world has ever seen. Covid-19 has been shown to …
the biggest public health emergency the world has ever seen. Covid-19 has been shown to …