Sökning: "annotation tool"

Visar resultat 1 - 5 av 39 uppsatser innehållade orden annotation tool.

1. 1. Self-learning for 3D segmentation of medical images from single and few-slice annotation

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Côme Lassarat; [2023]
   Nyckelord :Self-supervised Learning; Segmentation; Medical images; Självövervakad inlärning; segmentering; medicinska bilder;

   Sammanfattning : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. LÄS MER

3. 2. Improving the Synthesis of Annotations for Partially Automated Deductive Verification

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Hovig Manjikian; [2023]
   Nyckelord :Formal verification; Automated verification; Contract inference.; Formell verifiering; Automatiserad verifiering; Kontraktgenerering.;

   Sammanfattning : This work investigates possible improvements to an existing annotation inference tool. The tool is part of a toolchain that aims to automate the process of software verification using formal methods. LÄS MER

4. 3. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Fredrik Salomon-Sörensen; [2023]
   Nyckelord :Deep Learning; Cell Identification; Image Segmentation; Nuclei Segmentation; Convolutional Neural Networks; UNet; Image Analysis; Microscopy; Noisy Labels; Phase-Contrast; Automatic Labeling; Technology and Engineering;

   Sammanfattning : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. LÄS MER

5. 4. Semi-Automatic ImageAnnotation Tool

   Master-uppsats, Linköpings universitet/Reglerteknik

   Författare :Miranda Alvenkrona; Tilda Hylander; [2023]
   Nyckelord :annotation; machine learning; annotation tool; image annotation; object detection; selective annotation; re-training;

   Sammanfattning : Annotation is essential in machine learning. Building an accurate object detec-tion model requires a large, diverse dataset, which poses challenges due to thetime-consuming nature of manual annotation. This thesis was made in collabora-tion with Project Ngulia, which aims at developing technical solutions to protectand monitor wild animals. LÄS MER

7. 5. Comparative genomics of Central Arctic Ocean microbiota for observation of Alternative Carbon Fixation Pathways

   Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

   Författare :Kaavya Venkateswaran; [2023]
   Nyckelord :comparative genomics; microbial ecology; bioinformatics; carbon fixation; pangenomics;

   Sammanfattning : The Central Arctic Ocean is a repository of rich and diverse biota, whose major portion is one of the most important drivers of global biogeochemical cycles, including carbon cycling. In this study, the functional potential of the microbiota to fix carbon with alternative carbon fixation pathways were investigated along with their chemolithotrophic characteristics. LÄS MER