Abstract: The proposed work focuses on using LadderNet for Brain Tumor segmentation using MRI signals through the dataset as an input. The method is helpful in computerized medical analysis. Although ...

Add Yahoo as a preferred source to see more of our stories on Google. Cancer Cell Spread and oncology or Malignant Cancerous Growth and Metastasis anatomy concept as ...

Abstract: Accurate segmentation and classification of brain tumors from Magnetic Resonance Imaging (MRI) are critical for effective diagnosis and treatment planning. This paper proposes a novel ...

Most modern theories of consciousness fall into two main groups. Computational functionalism argues that mental states required for consciousness depend solely on how a system processes information.

We present an efficient deep learning approach for the challenging task of tumor segmentation in multisequence MR images. In recent years, Convolutional Neural Networks (CNN) have achieved ...