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 …

Electrocardiogram (ECG) signal analysis is a critical task in diagnosing the presence of any
cardiac disorder. There are limited studies on detecting P-waves in various atrial …

Video laryngoscope is available for visualizing the motion of vocal cords and aid in the
assessment of analyzing the larynx-related lesion preliminarily. Laryngeal …

基于深度学习的脑图像分割算法是目前的一个研究热点。 本文首先对脑图像分割的意义以及
相关算法内容进行系统阐述， 突出了基于深度学习的脑图像分割算法的优势。 然后 …

Colorectal cancer, caused by an unusual growth of tissues in a body called polyp, is the third
most prevailing cancer worldwide and remained the second most cause of deaths by cancer …

基于深度学习的脑图像分割算法是目前的一个研究热点. 本文首先对脑图像分割的意义以及相关
算法内容进行系统阐述, 突出了基于深度学习的脑图像分割算法的优势. 然后 …

This study has investigated the possibility to achieve high performing brain tumour
segmentation using Deep Learning, without breaching the strict privacy regulations such as …

An example system for performing segmentation of data based on tensor inputs includes
memory storing computer-executable instructions defining a learning network, where the …

In this work, we deal with a brain tumor segmentation problem from magnetic resonance
imaging (MRI), considered financially and time demanding when carrying out manually. To …

This research focuses on introducing novel machine learning algorithms for predicting the
outcome of patients with brain disorders using MR images. We first introduce the challenges …