Essays about: "Conclusion of Network and computer"

Showing result 1 - 5 of 37 essays containing the words Conclusion of Network and computer.

1. 1. Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis

   University essay from Lunds universitet/Matematik LTH

   Author : Chloé Soormally; [2023]
   Keywords : Tuberculosis; COVID-19; Lung Ultrasound; Computer-aided detection CAD ; Deep learning; Technology and Engineering;

   Abstract : BACKGROUND. Early and accurate detection of infectious respiratory diseases like COVID-19 and tuberculosis (TB) plays a crucial role in effective management and the reduction of preventable mortality. READ MORE

3. 2. Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning

   University essay from Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaper

   Author : David Rydgård; [2023]
   Keywords : Fiber networks; Paperboard mechanics; Deep learning; Tomography; Image analysis; Technology and Engineering;

   Abstract : This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. READ MORE

4. 3. Developing a highly accurate, locally interpretable neural network for medical image analysis

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Rony David Ventura Caballero; [2023]
   Keywords : XAI; Interpretability; Computer vision; Pediatric pneumonia; Chest radiograph;

   Abstract : 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

5. 4. Selective Kernel Network based Crowding Counting and Crowd Density Estimation

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

   Author : Jinchen Liu; [2023]
   Keywords : Crowding Counting; Convolution Neural Network; Selective kernel; Trängselräkning; konvolutionsneuralnätverk; Selektiv kärna;

   Abstract : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. READ MORE

6. 5. Human pose estimation in low-resolution images

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

   Author : Hugo Nilsson; [2022]
   Keywords : Human Pose Estimation; Low-Resolution Images; Heatmap Decoding; Computer Vision; Deep Learning; Mänsklig Poseuppskattning; Lågupplösta Bilder; Färgdiagram Avkodning; Datorseende; Djupinlärning;

   Abstract : This project explores the understudied, yet important, case of human pose estimation in low-resolution images. This is done in the use-case of images with football players of known scale in the image. Human pose estimation can mainly be done in two different ways, the bottom-up method and the top-down method. READ MORE