Essays about: "convolutional neural networks"
Showing result 36 - 40 of 709 essays containing the words convolutional neural networks.
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36. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Skin cancer is a growing public health concern due to its prevalence among the population. Current clinical procedures require high invasiveness and multiple surgeries, which are responsible for patient discomfort and high medical expenses. READ MORE
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37. Particle Detection in Bone Marrow Using CNNs and Transformer Networks
University essay from Lunds universitet/Matematik LTHAbstract : The critical role of hematological stem cells, concentrated in bone marrow, in disease diagnosis makes the detection of these cells an imperative task. The current process, however, is slow and heavily reliant on expert interpretation, underscoring the need for automation. READ MORE
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38. Potential Pass Networks
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Passes are the events that happen the most often in football. Therefore, it is important for scouting and situation analysis to recognize the most valuable passes in crucial situations. READ MORE
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39. Exploring the Use of Attention for Generation Z Fashion Style Recognition with User Annotations as Labels
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As e-commerce and online shopping have increased worldwide, the interest and research of intelligent fashion systems have expanded. Given the competitive nature of the fashion market business, digital marketplaces depend on determining customer preferences. READ MORE
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40. Developing a highly accurate, locally interpretable neural network for medical image analysis
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Background Machine learning techniques, such as convolutional networks, have shown promise in medical image analysis, including the detection of pediatric pneumonia. However, the interpretability of these models is often lacking, compromising their trustworthiness and acceptance in medical applications. READ MORE