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相关概念视频

Veins of Upper Limbs01:17

Veins of Upper Limbs

837
The human circulatory system, a marvel of biological engineering, is a complex network of vessels that transport blood throughout the body. Among these, the veins responsible for carrying blood from the upper limbs are divided into two categories: deep and superficial.
The deep venous system is primarily composed of the ulnar and radial veins. The ulnar vein, which drains the fingers through the superficial palmar venous arches, and the radial vein, which serves the palms via the deep palmar...
837
Veins of Lower Limbs01:15

Veins of Lower Limbs

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The human body consists of an intricate network of veins responsible for the crucial task of blood drainage from the lower limbs. These veins can be categorized into two main types: deep veins and superficial veins.
Formed by the union of the medial and lateral plantar veins, the posterior tibial vein, rising through the calf muscle, assimilates the fibular vein. The anterior tibial vein, a superior extension of the foot's dorsalis pedis vein, merges with the posterior tibial vein at the...
786
Veins of Head and Neck01:19

Veins of Head and Neck

1.8K
The blood drainage from the head and neck is primarily managed by three pairs of veins: the external jugular, internal jugular, and vertebral veins. The external jugular veins drain superficial scalp and face structures, passing over the sternocleidomastoid muscles to empty into the subclavian veins.
On the other hand, the vertebral veins, unlike their arterial counterparts, are not primarily responsible for brain drainage. Instead, they drain the cervical vertebrae, spinal cord, and some small...
1.8K
Arteries of Lower Limbs01:20

Arteries of Lower Limbs

1.4K
The external iliac artery transitions out of the body cavity, entering the femoral region of the lower leg, and is renamed the femoral artery at the point where it traverses the body wall. This artery is responsible for the distribution of blood to the thigh's deep muscles and the skin's ventral and lateral regions, achieved through several minor branches and the lateral deep femoral artery, which also spawns a lateral circumflex artery. The knee area receives blood from the genicular...
1.4K
Arteries of the Upper Limbs01:12

Arteries of the Upper Limbs

541
The subclavian artery transitions into the axillary artery as it exits the chest and enters the axillary region. This artery is critical for supplying blood to the shoulder area, including the head of the humerus, through the humeral circumflex arteries. As the vessel continues into the upper arm or brachium, it becomes the brachial artery. This artery plays a key role in vascularizing the brachial region and bifurcates at the elbow into several branches. These branches include the deep...
541
Arteries of the Lower Limbs01:24

Arteries of the Lower Limbs

188
Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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使用卷积神经网络进行静脉细分和上下四肢的可视化.

Amit Laddi1,2, Shivalika Goyal1,2, Himani

  • 1Biomedical Applications Group, CSIR-Central Scientific Instruments Organisation (CSIO), Chandigarh-160030, India.

Biomedizinische Technik. Biomedical engineering
|April 23, 2024
PubMed
概括

一个新的深度学习算法,自我参数化的U-Net,准确地实时可视化静脉. 这项技术有助于血管外科医生进行诸如静脉穿刺和慢性静脉疾病治疗等手术.

关键词:
美国有线电视新闻网 (CNN) 架构深度学习是一种深度学习.图像分割 图像细分 图像细分接近红外成像的近红外成像.静脉可视化 静脉可视化

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科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 血管外科 血管外科

背景情况:

  • 精确的静脉定位对于有效的静脉穿刺,血管手术和慢性静脉疾病 (CVD) 管理至关重要.
  • 目前用于静脉可视化的方法可能具有挑战性,特别是在不受约束的条件下.

研究的目的:

  • 开发一种可靠的实时框架,用于静脉定位,识别和可视化,使用深度学习 (DL) 自参数化的卷积神经网络 (CNN).
  • 从使用近红外 (NIR) 成像在不受约束的条件下获得的下肢和上肢数据集进行静脉地图细分.
  • 协助血管外科医生进行诸如静脉穿刺,血管外科手术和心血管疾病治疗等手术.

主要方法:

  • 使用便携式图像采集装置,从72名受试者中收集静脉数据.
  • 一个手动注释的数据集训练并比较了传统的CNN架构 (ResNet,VGGNet) 与一个自我参数化的U-Net.
  • 重点是改进自动静脉细分和可视化.

主要成果:

  • 与传统的CNN模型相比,自参数化的U-Net在分割不受约束的数据集方面表现出卓越的性能.
  • 在实时静脉可视化方面获得0.58的子得分和96.7%的准确性.
  • 该模型在不受约束的条件下对实时静脉位置有效.

结论:

  • 自参数化的U-Net显示了静脉细分和可视化的巨大潜力.
  • 它可能会降低与传统静脉穿刺和心血管疾病治疗相关的风险.
  • 这种先进的CNN架构提供了改进的血管辅助,提高了患者护理和治疗结果.