CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance
Most oncological cases can be detected by imaging techniques, but diagnosis is based on
pathological assessment of tissue samples. In recent years, the pathology field has evolved …
pathological assessment of tissue samples. In recent years, the pathology field has evolved …
Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection
Automated detection and classification of gastric infections (ie, ulcer, polyp, esophagitis, and
bleeding) through wireless capsule endoscopy (WCE) is still a key challenge. Doctors can …
bleeding) through wireless capsule endoscopy (WCE) is still a key challenge. Doctors can …
Automated prostate cancer grading and diagnosis system using deep learning-based Yolo object detection algorithm
Purpose: Developing an artificial intelligence-based prostate cancer detection and
diagnosis system that can automatically determine important regions and accurately classify …
diagnosis system that can automatically determine important regions and accurately classify …
Colorectal histology tumor detection using ensemble deep neural network
S Ghosh, A Bandyopadhyay, S Sahay, R Ghosh… - … Applications of Artificial …, 2021 - Elsevier
With a mortality rate of approximately 33.33%, Colorectal cancer serves as the second most
prevalent malignant tumor type in the world. AI-guided clinical care/tool can help in reducing …
prevalent malignant tumor type in the world. AI-guided clinical care/tool can help in reducing …
ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning
A Rączkowska, M Możejko, J Zambonelli… - Scientific reports, 2019 - nature.com
Abstract Machine learning algorithms hold the promise to effectively automate the analysis
of histopathological images that are routinely generated in clinical practice. Any machine …
of histopathological images that are routinely generated in clinical practice. Any machine …
A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological …
A clinically comparable Convolutional Neural Network framework-based technique for
performing automated classification of cancer grades and tissue structures in hematoxylin …
performing automated classification of cancer grades and tissue structures in hematoxylin …
[HTML][HTML] Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection
Wireless capsule endoscopy (WCE) is a new imaging procedure that is used to record
internal conditions of gastrointestinal tract for medical diagnosis. However, due to the …
internal conditions of gastrointestinal tract for medical diagnosis. However, due to the …
Computational analysis of histological images from hematoxylin and eosin-stained oral epithelial dysplasia tissue sections
Oral epithelial dysplasia is a precancerous lesion that presents alterations in the shape and
size of cell nuclei and can be graded as mild, moderate and severe. The conventional …
size of cell nuclei and can be graded as mild, moderate and severe. The conventional …
Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images
Classification of histology images is a task that has been widely explored on recent
computer vision researches. The most studied approach for this task has been the …
computer vision researches. The most studied approach for this task has been the …
Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier
The use of a convolutional neural network with transfer learning is a strategy that defines
high-level features, commonly explored to study patterns in medical images. These features …
high-level features, commonly explored to study patterns in medical images. These features …