Essays about: "importance of segmentation"

Showing result 11 - 15 of 64 essays containing the words importance of segmentation.

  1. 11. Knowledge Distillation for Semantic Segmentation and Autonomous Driving. : Astudy on the influence of hyperparameters, initialization of a student network and the distillation method on the semantic segmentation of urban scenes.

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Juan Sanchez Nieto; [2022]
    Keywords : Knowledge Distillation; Autonomous Driving; Semantic Segmentation; Cityscapes.; Kunskapsdestillation; Autonom Körning; Semantisk Segmentering; Stadslandskap.;

    Abstract : Reducing the size of a neural network whilst maintaining a comparable performance is an important problem to be solved since the constrictions on resources of small devices make it impossible to deploy large models in numerous real-life scenarios. A prominent example is autonomous driving, where computer vision tasks such as object detection and semantic segmentation need to be performed in real time by mobile devices. READ MORE

  3. 12. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation

    University essay from KTH/Optimeringslära och systemteori

    Author : Hanna Westermark; [2021]
    Keywords : Deep learning; importance sampling; segmentation; convolutional neural networks; MRI; brain tumour; Djupinlärning; importance sampling; segmentering; faltningsnätverk; MRI; hjärntumör;

    Abstract : Segmentation of magnetic resonance images is an important part of planning radiotherapy treat-ments for patients with brain tumours but due to the number of images contained within a scan and the level of detail required, manual segmentation is a time consuming task. Convolutional neural networks have been proposed as tools for automated segmentation and shown promising results. READ MORE

  4. 13. An automated unmanned aerial vehicle – structure from motion pipeline to create analysis-ready digital surface models for coastal monitoring

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Maximilian Rafael Huber; [2021]
    Keywords : physical geography; ecosystem analysis; geomatics; GIS; UAV; structure-from-motion; machine learning; coastal monitoring; Earth and Environmental Sciences;

    Abstract : Anthropogenic pressure on coastal areas continues to increase, thus intensifying coastal erosion. Coastal monitoring programs are therefore essential to prevent severe ecosystem and economic consequences. Successful coastal monitoring schemes require highly accurate analysis-ready Digital surface models (DSMs) derived using the same workflow. READ MORE

  5. 14. A Phantom Based Comparison of Image Segmentation Algorithms for Adaptive Functional Volume Determination of the Thyroid Gland using SPECT

    University essay from Stockholms universitet/Fysikum

    Author : Henrik Berg; [2021]
    Keywords : Hyperthyroidism; Nuclear Medicine; SPECT; Functional Volume; Phantom Study; Adaptive Image Segmentation; Thresholding; Region Growing;

    Abstract : Background One of the most used treatments for hyperthyroidism, is therapy with radioactive iodine (131I), which is accumulated in the thyroid gland. To determine the activity of 131I to be administered for a certain absorbed dose, the volume of the gland is of great importance but the historically used methods for estimating the functional volume of the gland are based on large approximations. READ MORE

  6. 15. Automatic Left Ventricle Segmentation of Long-Axis Cardiac MRI-Images

    University essay from Lunds universitet/Matematik LTH

    Author : Ruben Bergengrip; [2021]
    Keywords : MRI; Magnetic resonance imaging; Deep Learning; Machine learning; U-net; CNN; Semantic segmentation; Segmentation; Global longitudinal strain; GLS; strain; AV-plane displacement; AVPD; long-axis; left ventricle; LV; cardiac MRI; CMR; Image analysis; Technology and Engineering;

    Abstract : Over 30 % of all deaths worldwide are related to cardiovascular diseases and they are the leading cause of death. Therefore, research into treatment, diagnosis and prognostication of these diseases are of critical importance. One way to examine the cardiovascular system is through the use of Magnetic Resonance Imaging (MRI). READ MORE