Essays about: "Mammogram Segmentation"

Found 4 essays containing the words Mammogram Segmentation.

1. 1. AI-based Age Estimation from Mammograms

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Dilukshi Charitha Subashini Dissanayake Dissanayake Lekamlage; Fabia Afzal; [2020]
   Keywords : Machine Learning; Mammograms; Image Segmentation; Deep Learning; Feature Extraction; Regression Analysis; Age Estimation;

   Abstract : Background: Age estimation has attracted attention because of its various clinical and medical applications. There are many studies on human age estimation from biomedical images such as X-ray images, MRI, facial images, dental images etc. However, there is no research done on mammograms for age estimation. READ MORE

3. 2. Breast Cancer Risk Localization in Mammography Images using Deep Learning

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

   Author : Beata Rystedt; [2020]
   Keywords : Deep learning; breast cancer risk; mammograms; convolutional networks; localization.; Djupinlärning; bröstcancerrisk; mammogram; faltningsnätverk; lokalisering.;

   Abstract : Breast cancer is the most common form of cancer among women, with around 9000 new diagnoses in Sweden yearly. Detecting and localizing risk of breast cancer could give the opportunity for individualized examination programs and preventative measures if necessary, and potentially be lifesaving. READ MORE

4. 3. Fully Convolutional Networks for Mammogram Segmentation

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Hampus Carlsson; [2019]
   Keywords : Mammography; FCN; Fully Convolutional Neural Networks; Mammogram Segmentation; MIAS;

   Abstract : Segmentation of mammograms pertains to assigning a meaningful label to each pixel found in the image. The segmented mammogram facilitates both the function of Computer Aided Diagnosis Systems and the development of tools used by radiologists during examination. Over the years many approaches to this problem have been presented. READ MORE

5. 4. Adapting multiple datasets for better mammography tumor detection

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

   Author : Wang Tao; [2018]
   Keywords : breast cancer detection; domain adaptation; transfer learning; semantic segmentation; style transfer;

   Abstract : In Sweden, women of age between of 40 and 74 go through regular screening of their breasts every 18-24 months. The screening mainly involves obtaining a mammogram and having radiologists analyze them to detect any sign of breast cancer. READ MORE