Essays about: "segmentation consistency"

Showing result 1 - 5 of 10 essays containing the words segmentation consistency.

1. 1. Semi-Supervised Domain Adaptation for Semantic Segmentation with Consistency Regularization : A learning framework under scarce dense labels

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

   Author : Daniel Morales Brotons; [2023]
   Keywords : Domain Adaptation; Semi-Supervised Learning; Semi-Supervised Domain Adaptation; Semantic Segmentation; Consistency Regularization; Domain Adaptation; Semi-Supervised Learning; Semi-Supervised Domain Adaptation; Semantisk Segmentering; Konsistensregularisering;

   Abstract : Learning from unlabeled data is a topic of critical significance in machine learning, as the large datasets required to train ever-growing models are costly and impractical to annotate. Semi-Supervised Learning (SSL) methods aim to learn from a few labels and a large unlabeled dataset. READ MORE

3. 2. ATLAS-BASED SEGMENTATION OF ULTRAHIGH-RESOLUTION STRUCTURAL MR HEAD IMAGES ACQUIRED AT 7 TESLA

   University essay from

   Author : Frida Johansson; [2022-01-13]
   Keywords : Medical physics; Anatomical segmentation; Brain; MRI; 7 Tesla; Pincram; MAPER; Shape based averaging; Ultrahigh resolution;

   Abstract : Purpose: The purpose of this work was to find out how the existing brain atlases and segmentation algorithms perform when applied to ultrahigh-resolution MR brain images, acquired with a 7-Tesla scanner. Also to make adaptations to deal with the potential challenges and evaluate the quality of the anatomical segmentations of the 7- Tesla images. READ MORE

4. 3. Development and evaluation of an inter-subject image registration method for body composition analysis for three slice CT images

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Hugo Dahlberg; [2022]
   Keywords : Medical imaging; Image registration; SCAPIS;

   Abstract : Over 30 000 liver, abdomen, and thigh slices have been acquired by computed tomography for the SCAPIS and IGT study. To utilise the full potential of the large cohort and enable statistical pixel-wise body composition analysis and visualisation of associations with other biomarkers, a point-to-point correspondence between the scans is needed. READ MORE

5. 4. GVT-BDNet : Convolutional Neural Network with Global Voxel Transformer Operators for Building Damage Assessment

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

   Author : Leonardo Remondini; [2021]
   Keywords : Attention Operators; Convolutional Neural Networks CNNs ; Deep Learning; Building Damage Assessment; Generalizability; Global Voxel Transformer Operators GVTOs .; Attention Operators; Convolutional Neural Networks CNNs ; Deep Learning; Building Damage Assessment; Generalizability; Global Voxel Transformer Operators GVTOs .;

   Abstract : Natural disasters strike anywhere, disrupting local communication and transportation infrastructure, making the process of assessing specific local damage difficult, dangerous, and slow. The goal of Building Damage Assessment (BDA) is to quickly and accurately estimate the location, cause, and severity of the damage to maximize the efficiency of rescuers and saved lives. READ MORE

6. 5. Development of a Proactive Supply Risk Management Model

   University essay from Lunds universitet/Teknisk logistik; Lunds universitet/Institutionen för teknisk ekonomi och logistik

   Author : Albin Melin; Jesper Jensen Ehlers; [2021]
   Keywords : Supply Risk Management; SRM; Supply Chain Management; Swedish Agrifood Industry; Multiple Case Study; Constructive Research; Technology and Engineering; Business and Economics;

   Abstract : Supply risk management (SRM) is a well-established aspect in the field of supply chain management (SCM) that has gained even more relevance due to the ongoing covid-19 pandemic. Many articles have been published relating to the topic, such as Norrman and Jansson (2004) and Zsidisin (2003a). READ MORE