Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 13 of 13 for “"Segmentation Masks"”.
-
Tumour Localisation in Histopathology Images
… agreements between automated and manual tumour segmentation masks (κ=0.811) approach inter-rater agreement between expert pathologists (κ=0.908). A large proportion of disagreements between automated and manual segmentations were shown to correlate to minor discrepancies, inconsequential for IHC …
-
High-performance Object Detection and Tracking Using Deep Learning
… learned semantic features provided by semantic segmentation masks. These segmentation masks play as an attention mechanism and enforce the detectors to focus on the image regions where potential object candidates are likely to appear. Furthermore, after reviewing some widely used detection …
-
Artistic and semantic progressive image coding
… more bitrates to important objects according to segmentation masks. The approach can be extended to encode other artistic styles such as mosaic style and users can easily create their own decoding patterns. Our progressive image coding method generates clearer content than JPEG and previous …
-
Classification of Marine Vessels in a Littoral Environment Using a Novel Training Database
… from the field and edited for best possible use. Segmentation masks of each boat have been developed to separate the image into foreground and background sections. Segmentation masks that include boat wakes as part of the foreground section are the final image type included. These are included to …
-
Weakly supervised learning from referring expression: Challenge and directions
… Unlike traditional fully supervised semantic segmentation of object recognition tasks, in which a a small set of discrete class bases is provided, the referring expression task is performed associated with a sentence phrase, e.g. “the dude on the dolphin”. Previous approaches use LSTM and …
-
A quantitative characterization of tuberculin skin test indurations using hyperspectral imaging to enable automated latent tuberculosis screening
… principal components and generate induration segmentation masks. Precise induration diameter estimations, which were comparable to corresponding Mantoux readings, were generated from the masks. An intraclass correlation coefficient score of 0.80, a median difference in reading of 0.29 mm, and …
-
Investigating the Biomechanical and Electrophysiological Responses of Astrocytes to Mechanical Trauma
… an alternative when reliable cell-specific segmentation was not feasible. For all other assays, nuclei served as the primary segmentation masks. Analytical pipelines were customized based on the biological interpretation of each signal, with measurements extracted from nuclear regions or …
-
REPRESENTATION LEARNING FOR VISUAL TASKS: A STUDY OF ATTENTION AND INFORMATION SELECTION
… that adds an auxiliary loss based on semantic segmentation masks to penalize attention to non-object regions, aiming to reduce shortcut learning, improve out-of-distribution robustness, and enhance object shape representation without increasing inference complexity. The results demonstrate that …
-
Hands in action: from 4D reconstruction to animation and robotics
… two main insights: (1) 2D information, such as segmentation masks and keypoints, can be estimated effectively from videos using large vision models, (2) 3D shape priors can be extracted from lab & synthetic sources and combined with 2D masks & keypoints for 3D reconstruction. Using the data …
-
Lightweight edge AI vision models for IoT-based insect monitoring
… SemiY-Net, was proposed for simultaneous object segmentation and counting. The model was designed to meet the strict memory and computational constraints of MCUs while providing meaningful outputs. Several strategies were employed to achieve this balance, including architectural pruning, …
-
Robust Video Object Tracking via Camera Self-calibration
… starts with a multi-kernel-based adaptive segmentation and tracking scheme that dynamically controls the decision thresholds of background subtraction and shadow removal around the adaptive kernel regions based on the preliminary tracking results. With the head/foot points collected from …
-
Immune Infiltrates in Breast Cancer: Clinical Significance from Histopathology to Prognosis
… in the PhD, development of the tissue segmentation (tumour, stroma, artefact, glass) component of the custom algorithm was cut short. As a result, the custom algorithm’s performance dropped markedly relative to the Halo algorithm, with tumour-specific kappas of 0.49 and 0.7, and …
-
Enhancing multi-label object recognition in complex images via region-based continual learning
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms