Essays about: "Image Automatic Processing"
Showing result 1 - 5 of 92 essays containing the words Image Automatic Processing.
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1. Evaluating and Fine-Tuning a Few-Shot Model for Transcription of Historical Ciphers
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Thousands of historical ciphers, encrypted manuscripts, are stored in archives across Europe. Historical cryptology is the research field concerned with studying these manuscripts - combining the interest of humanistic fields with methods of cryptography and computational linguistics. READ MORE
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2. Automatic Detection of Tumour Infiltrating Lymphocytes in Breast Cancer Whole Slide Images
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Cancer is one of the most common diseases this century, with breast cancer being the most common form. Pathological examination is used to detect and quantify Tumour-infiltrating lymphocytes (TILs) in breast cancer Whole Slide Images (WSIs), which can be done manually or automatically. READ MORE
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3. An automatic timestamp detection technique using vision system
University essay from Högskolan i Gävle/Avdelningen för elektroteknik, matematik och naturvetenskapAbstract : As a part of the manufacturing process at the forging shop of Alleima AB in Sandviken, materials are heated in a furnace and then quenched in a quench tank. A temperature sensor in the outlet of the tank indicates the time when the temperature rises inside the quench tank. READ MORE
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4. Computer-Aided Characterization of Lung - Segmentation and Vessel Tree Analysis Algorithms for Clinical Research Applications
University essay from KTH/FysikAbstract : The initial stage of a lung examination involves the segmentation of a CT image, a process that has been put under a lot of pressure with the high demand for chest scans and accurate segmentations. Current automatic segmentation algorithms are either non-robust for different datasets, not easily accessible, or time-consuming. READ MORE
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5. Automatic text placement on maps using deep learning keypoint detection models
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Labeling the map is one of the most essential parts of the cartographic process that requires a huge time and energy. It is proven that the automation of map labeling is an NP-hard problem. There have been many research studies that tried to solve it such as rule-based methods, metaheuristics, and integer programming. READ MORE