AI-based carcinoma detection and classification using histopathological images: A systematic review

S Prabhu, K Prasad, A Robels-Kelly, X Lu - Computers in Biology and …, 2022 - Elsevier
Histopathological image analysis is the gold standard to diagnose cancer. Carcinoma is a
subtype of cancer that constitutes more than 80% of all cancer cases. Squamous cell …

Explainable AI (xAI) for anatomic pathology

AB Tosun, F Pullara, MJ Becich, DL Taylor… - Advances in …, 2020 - journals.lww.com
Pathologists are adopting whole slide images (WSIs) for diagnosis, thanks to recent FDA
approval of WSI systems as class II medical devices. In response to new market forces and …

Automated histology analysis: Opportunities for signal processing

MT McCann, JA Ozolek, CA Castro… - IEEE Signal …, 2014 - ieeexplore.ieee.org
Histology is the microscopic inspection of plant or animal tissue. It is a critical component in
diagnostic medicine and a tool for studying the pathogenesis and biology of processes such …

Unsupervised feature extraction via deep learning for histopathological classification of colon tissue images

CT Sari, C Gunduz-Demir - IEEE transactions on medical …, 2018 - ieeexplore.ieee.org
Histopathological examination is today's gold standard for cancer diagnosis. However, this
task is time consuming and prone to errors as it requires a detailed visual inspection and …

Computer-aided colorectal tumor classification in NBI endoscopy using local features

T Tamaki, J Yoshimuta, M Kawakami, B Raytchev… - Medical image …, 2013 - Elsevier
An early detection of colorectal cancer through colorectal endoscopy is important and widely
used in hospitals as a standard medical procedure. During colonoscopy, the lesions of …

[PDF][PDF] Histopathological image analysis using image processing techniques: An overview

AD Belsare, MM Mushrif - Signal & Image Processing, 2012 - researchgate.net
This paper reviews computer assisted histopathology image analysis for cancer detection
and classification. Histopathology refers to the examination of invasive or less invasive …

A color and shape based algorithm for segmentation of white blood cells in peripheral blood and bone marrow images

S Arslan, E Ozyurek, C Gunduz‐Demir - Cytometry Part A, 2014 - Wiley Online Library
Computer‐based imaging systems are becoming important tools for quantitative assessment
of peripheral blood and bone marrow samples to help experts diagnose blood disorders …

Automatic segmentation of colon glands using object-graphs

C Gunduz-Demir, M Kandemir, AB Tosun… - Medical image …, 2010 - Elsevier
Gland segmentation is an important step to automate the analysis of biopsies that contain
glandular structures. However, this remains a challenging problem as the variation in …

[HTML][HTML] Machine learning methods for histopathological image analysis: A review

J De Matos, STM Ataky, A de Souza Britto Jr… - Electronics, 2021 - mdpi.com
Histopathological images (HIs) are the gold standard for evaluating some types of tumors for
cancer diagnosis. The analysis of such images is time and resource-consuming and very …

A comprehensive survey of intestine histopathological image analysis using machine vision approaches

Y Jing, C Li, T Du, T Jiang, H Sun, J Yang, L Shi… - Computers in Biology …, 2023 - Elsevier
Colorectal Cancer (CRC) is currently one of the most common and deadly cancers. CRC is
the third most common malignancy and the fourth leading cause of cancer death worldwide …