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 …

A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks

H Abdel-Nabi, M Ali, A Awajan, M Daoud, R Alazrai… - Cluster …, 2023 - Springer
Medical Imaging has become a vital technique that has been embraced in the diagnosis and
treatment process of cancer. Histopathological slides, which microscopically examine the …

CAM-VT: A weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer

Z Fan, X Wu, C Li, H Chen, W Liu, Y Zheng… - Computers in Biology …, 2023 - Elsevier
Cervical cancer is the fourth most common cancer among women, and cytopathological
images are often used to screen for this cancer. However, manual examination is very …

OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation

Q Nie, C Li, J Yang, Y Yao, H Sun, T Jiang… - Computers in Biology …, 2023 - Elsevier
In recent years, there is been a growing reliance on image analysis methods to bolster
dentistry practices, such as image classification, segmentation and object detection …

Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators

X Liu, Y Wu, Y Chen, D Hui, J Zhang, F Hao… - Computers in Biology …, 2023 - Elsevier
Diagnosis of diabetic kidney disease (DKD) mainly relies on screening the morphological
variations and internal lesions of glomeruli from pathological kidney biopsy. The prominent …

A state-of-the-art review of functional magnetic resonance imaging technique integrated with advanced statistical modeling and machine learning for primary …

ML Li, F Zhang, YY Chen, HY Luo, ZW Quan… - Frontiers in Human …, 2023 - frontiersin.org
Primary headache is a very common and burdensome functional headache worldwide,
which can be classified as migraine, tension-type headache (TTH), trigeminal autonomic …

Multi-scale multi-instance contrastive learning for whole slide image classification

J Zhang, F Hao, X Liu, S Yao, Y Wu, M Li… - … Applications of Artificial …, 2024 - Elsevier
Multi-instance learning (MIL) has become the mainstream solution for processing super-high
resolution whole slide images (WSIs) with the pyramidal structure in digital pathology …

Combined expert-in-the-loop—random forest multiclass segmentation U-net based artificial intelligence model: evaluation of non-small cell lung cancer in fibrotic and …

A Saqi, Y Liu, MG Politis, M Salvatore… - Journal of Translational …, 2024 - Springer
Background The tumor microenvironment (TME) plays a key role in lung cancer initiation,
proliferation, invasion, and metastasis. Artificial intelligence (AI) methods could potentially …

[HTML][HTML] Digital Genome and Self-Regulating Distributed Software Applications with Associative Memory and Event-Driven History

R Mikkilineni, WP Kelly, G Crawley - Computers, 2024 - mdpi.com
Biological systems have a unique ability inherited through their genome. It allows them to
build, operate, and manage a society of cells with complex organizational structures, where …

Utilization of Artificial Intelligence for the automated recognition of fine arts

R Chen, MR Ghavidel Aghdam, M Khishe - PloS one, 2024 - journals.plos.org
Fine art recognition, traditionally dependent on human expertise, is undergoing a significant
transformation with the integration of Artificial Intelligence (AI) and deep learning. This article …