Essays about: "morphology segmentation"

Showing result 1 - 5 of 13 essays containing the words morphology segmentation.

  1. 1. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier

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

    Author : Ali Muquri; [2023]
    Keywords : ;

    Abstract : The introduction of machine learning in clinical microbiology is important for aiding clinical laboratories with highly repetitive tasks that are fatiguing, error-prone, and require long employee training time due to the complex nature of the task. A challenging task that belongs to the subareas that need assistance is yeast detection in fluorescence microscopy where various yeast morphologies exist. READ MORE

  3. 2. Segmentation of cancer epithelium using nuclei morphology with Deep Neural Network

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Osheen Sharma; [2020]
    Keywords : Histological; morphology; Convolutional Neural Network; seg- mentation; bladder cancer;

    Abstract : Bladder cancer (BCa) is the fourth most commonly diagnosed cancers in men and the eighth most common in women. It is an abnormal growth of tissues which develops in the bladder lining. Histological analysis of bladder tissue facilities diagnosis as well as it serves as an important tool for research. READ MORE

  4. 3. Generative Adversarial Networks to enhance decision support in digital pathology

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Alessia De Biase; [2019]
    Keywords : Generative Adversarial Networks; Digital Pathology; CycleGAN; Style Transfer;

    Abstract : Histopathological evaluation and Gleason grading on Hematoxylin and Eosin(H&E) stained specimens is the clinical standard in grading prostate cancer. Recently, deep learning models have been trained to assist pathologists in detecting prostate cancer. READ MORE

  5. 4. Gland Segmentation with Convolutional Neural Networks : Validity of Stroma Segmentation as a General Approach

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : THOMAS BINDER; [2019]
    Keywords : segmentation; deep learning; convolutional neural networks; machine learning; artificial intelligence;

    Abstract : The analysis of glandular morphology within histopathology images is a crucial step in determining the stage of cancer. Manual annotation is a very laborious task. It is time consuming and suffers from the subjectivity of the specialists that label the glands. READ MORE

  6. 5. Classification of skin pixels in images : Using feature recognition and threshold segmentation

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Emil Samuelsson; [2018]
    Keywords : ;

    Abstract : The purpose of this report is to investigate and answer the research question: How can current skin segmentation thresholding methods be improved in terms of precision, accuracy, and efficiency by using feature recognition, pre- and post-processing? In this work, a novel algorithm is presented for classification of skin pixels in images. Different pre-processing methods were evaluated to improve the overall performance of the algorithm. READ MORE