Brain lesion segmentation provides a valuable tool for clinical diagnosis and research, and
convolutional neural networks (CNNs) have achieved unprecedented success in the …

Accurate stroke segmentation is a crucial task in establishing a computer-aided diagnostic
system for brain diseases. However, reducing false negatives and accurately segmenting …

脑卒中病灶自动分割方法成为近几年的研究热点. 为了全面研究用于MRI 脑卒中病灶分割的深度
学习方法的现状, 针对脑卒中治疗的临床问题, 进一步阐述了基于深度学习的病灶分割的研究 …

Precise cervical cancer treatment highly relies on accurate segmentation of cervical tumors
from magnetic resonance (MR) images. However, this task is challenged by the …

To date, several automated strategies for identification/segmentation of Multiple Sclerosis
(MS) lesions with the use of Magnetic Resonance Imaging (MRI) have been presented, but …

The utilization of diagnostic imaging in the United States and worldwide is steadily growing.
Due to a shortage of trained staff, the result is an increased and unsustainable workload for …

Medical imaging (MI) refers to several technologies that provide images of organs and
tissues of human body for diagnosis and scientific purposes. Furthermore, the technologies …