[图书][B] Nuclei segmentation of histology images based on deep learning and color quantization and analysis of real world pill images

S Sornapudi - 2017 - search.proquest.com
Medical image analysis has paved a way for research in the field of medical and biological
image analysis through the applications of image processing. This study has special …

Automatic segmentation of nuclei from pap smear cell images: A step toward cervical cancer screening

D Somasundaram, S Gnanasaravanan… - … Journal of Imaging …, 2020 - Wiley Online Library
Cervical cancer is identified as the fourth most recurrent cancer among women across the
globe. The cancer is treatable, if identified at the early stage. Pap smear test is the most …

Segmentation of Cytology Images to Detect Cervical Cancer Using Deep Learning Techniques

BZ Wubineh, A Rusiecki, K Halawa - International Conference on …, 2024 - Springer
Cervical cancer is the fourth most common cancer among women. Every year, more than
200,000 women die due to cervical cancer; however, it is a preventable disease if detected …

Segmentation of Nucleus in Histopathological Images Using Deep Learning Architectures

O Ayaz, H Usta, G Bilgin - 2021 Medical Technologies …, 2021 - ieeexplore.ieee.org
The aim of this study is to develop a image segmentation system for Histopathological
images by using Deep Learning Methods. In today's world cancer is a world wide problem …

Cell nuclei segmentation in cytological images using convolutional neural network and seeded watershed algorithm

M Kowal, M Żejmo, M Skobel, J Korbicz… - Journal of digital …, 2020 - Springer
Morphometric analysis of nuclei is crucial in cytological examinations. Unfortunately, nuclei
segmentation presents many challenges because they usually create complex clusters in …

Deep learning based approaches for accurate automated nuclei segmentation of Pap smear images

KAS Nair, N Padmanabhan… - 2023 14th …, 2023 - ieeexplore.ieee.org
Cervical cancer is a type of cancer that occurs among women. The cancerous cells are
developed in the cells of the cervix which is the lower part of the uterus. The human …

[PDF][PDF] Breast cancer nuclei segmentation and classification based on a deep learning approach

M Kowal, M Skobel, A Gramacki… - International Journal of …, 2021 - intapi.sciendo.com
One of the most popular methods in the diagnosis of breast cancer is fine-needle biopsy
without aspiration. Cell nuclei are the most important elements of cancer diagnostics based …

[HTML][HTML] Deep learning nuclei detection in digitized histology images by superpixels

S Sornapudi, RJ Stanley, WV Stoecker… - Journal of pathology …, 2018 - Elsevier
Background: Advances in image analysis and computational techniques have facilitated
automatic detection of critical features in histopathology images. Detection of nuclei is critical …

A Deep Learning approach for automated Cytoplasm and Nuclei cervical segmentation

MJ Del Moral-Argumedo, CA Ochoa-Zezzati… - … Signal Processing and …, 2023 - Elsevier
Cervical cancer is a severe disease that affects many women in developing countries.
Increasing screening capabilities is the best tool to reduce cancer incidence and save lives …

Cervical nuclei segmentation in whole slide histopathology images using convolution neural network

Q Yang, K Wu, H Cheng, C Gu, Y Liu, SP Casey… - Soft Computing in Data …, 2019 - Springer
Pathologists generally diagnose whether or not cervical cancer cells have the potential to
spread to other organs and assess the malignancy of cancer through whole slide …