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Explainable AI (xAI) for anatomic pathology
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 …
approval of WSI systems as class II medical devices. In response to new market forces and …
AI-based carcinoma detection and classification using histopathological images: A systematic review
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 …
subtype of cancer that constitutes more than 80% of all cancer cases. Squamous cell …
Unsupervised feature extraction via deep learning for histopathological classification of colon tissue images
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 …
task is time consuming and prone to errors as it requires a detailed visual inspection 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 …
diagnostic medicine and a tool for studying the pathogenesis and biology of processes such …
A comprehensive survey of intestine histopathological image analysis using machine vision approaches
Y **g, 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 …
the third most common malignancy and the fourth leading cause of cancer death worldwide …
Computer-aided colorectal tumor classification in NBI endoscopy using local features
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 …
used in hospitals as a standard medical procedure. During colonoscopy, the lesions of …
Machine learning methods for histopathological image analysis: A review
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 …
cancer diagnosis. The analysis of such images is time and resource-consuming and very …
[PDF][PDF] Histopathological image analysis using image processing techniques: An overview
This paper reviews computer assisted histopathology image analysis for cancer detection
and classification. Histopathology refers to the examination of invasive or less invasive …
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
Computer‐based imaging systems are becoming important tools for quantitative assessment
of peripheral blood and bone marrow samples to help experts diagnose blood disorders …
of peripheral blood and bone marrow samples to help experts diagnose blood disorders …
Automatic segmentation of colon glands using object-graphs
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 …
glandular structures. However, this remains a challenging problem as the variation in …