3D-GLCM CNN: A 3-dimensional gray-level co-occurrence matrix-based CNN model for polyp classification via CT colonography
Accurately classifying colorectal polyps, or differentiating malignant from benign ones, has a
significant clinical impact on early detection and identifying optimal treatment of colorectal …
significant clinical impact on early detection and identifying optimal treatment of colorectal …
Improving blueberry firmness classification with spectral and textural features of microstructures using hyperspectral microscope imaging and deep learning
Postharvest blueberry softening was investigated by observing microstructural changes of
blueberry in spectrum and texture using hyperspectral microscope imaging and deep …
blueberry in spectrum and texture using hyperspectral microscope imaging and deep …
Colorectal polyp image detection and classification through grayscale images and deep learning
CM Hsu, CC Hsu, ZM Hsu, FY Shih, ML Chang… - Sensors, 2021 - mdpi.com
Colonoscopy screening and colonoscopic polypectomy can decrease the incidence and
mortality rate of colorectal cancer (CRC). The adenoma detection rate and accuracy of …
mortality rate of colorectal cancer (CRC). The adenoma detection rate and accuracy of …
[HTML][HTML] Enhancing medical image classification via federated learning and pre-trained model
The precise classification of medical images is crucial in various healthcare applications,
especially in fields like disease diagnosis and treatment planning. In recent times, machine …
especially in fields like disease diagnosis and treatment planning. In recent times, machine …
MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification
Distinguishing malignant from benign lesions has significant clinical impacts on both early
detection and optimal management of those early detections. Convolutional neural network …
detection and optimal management of those early detections. Convolutional neural network …
Rapid polyp classification in colonoscopy using textural and convolutional features
Colorectal cancer is the leading cause of cancer-associated morbidity and mortality
worldwide. One of the causes of develo** colorectal cancer is untreated colon …
worldwide. One of the causes of develo** colorectal cancer is untreated colon …
Augmenting transfer learning with feature extraction techniques for limited breast imaging datasets
Computer aided detection (CADe) and computer aided diagnostic (CADx) systems are
ongoing research areas for identifying lesions among complex inner structures with different …
ongoing research areas for identifying lesions among complex inner structures with different …
Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation
We propose to re-emphasize the low-level texture information in deep networks for semantic
segmentation and related knowledge distillation tasks. Low-level texture feature/knowledge …
segmentation and related knowledge distillation tasks. Low-level texture feature/knowledge …
Classification of Lung Disease in X-Ray Images Using Gray Level Co-Occurrence Matrix Method and Convolutional Neural Network
The lungs are a very important part of the human body, as they serve as a place for oxygen
exchange. They have a very complex task and are susceptible to damage from the polluted …
exchange. They have a very complex task and are susceptible to damage from the polluted …
Multi-layer perceptron classification & quantification of neuronal survival in hypoxic-ischemic brain image slices using a novel gradient direction, grey level co …
Hypoxic ischemic encephalopathy (HIE) is a major global cause of neonatal death and
lifelong disability. Large animal translational studies of hypoxic ischemic brain injury, such …
lifelong disability. Large animal translational studies of hypoxic ischemic brain injury, such …