Effectiveness of infrared thermography for delamination detection in reinforced concrete bridge decks
E Ichi, S Dorafshan - Automation in Construction, 2022 - Elsevier
This paper presents findings of delamination detection using infrared thermography (IRT) in
five in-service bridges using an unmanned aerial vehicle system. The authors have used …
five in-service bridges using an unmanned aerial vehicle system. The authors have used …
Three‐class mammogram classification based on descriptive CNN features
In this paper, a novel classification technique for large data set of mammograms using a
deep learning method is proposed. The proposed model targets a three‐class classification …
deep learning method is proposed. The proposed model targets a three‐class classification …
Mammograms classification using gray-level co-occurrence matrix and radial basis function neural network
Abstract Computer Aided Diagnosis (CAD) is used to assist radiologist in classifying various
type of breast cancers. It already proved its success not only in reducing human error in …
type of breast cancers. It already proved its success not only in reducing human error in …
Technique for preprocessing of digital mammogram
Digital mammogram has emerged as the most popular screening technique for early
detection of breast cancer and other abnormalities in human breast tissue. It provides us …
detection of breast cancer and other abnormalities in human breast tissue. It provides us …
Breast mass tumor classification using deep learning
ASA Rahman, SB Belhaouari… - … on Informatics, IoT …, 2020 - ieeexplore.ieee.org
This study presents pre-trained Convolutional Neural Network (CNN) models to classify pre-
segmented mammogram mass tumors as benign or malignant. Transfer learning, particular …
segmented mammogram mass tumors as benign or malignant. Transfer learning, particular …
A survey of image processing algorithms in digital mammography
Mammography is at present the best available technique for early detection of breast cancer.
The most common breast abnormalities that may indicate breast cancer are masses and …
The most common breast abnormalities that may indicate breast cancer are masses and …
[HTML][HTML] Identification of masses in digital mammogram using gray level co-occurrence matrices
Digital mammogram has become the most effective technique for early breast cancer
detection modality. Digital mammogram takes an electronic image of the breast and stores it …
detection modality. Digital mammogram takes an electronic image of the breast and stores it …
Mammography segmentation with maximum likelihood active contours
We present a computer-aided approach to segmenting suspicious lesions in digital
mammograms, based on a novel maximum likelihood active contour model using level sets …
mammograms, based on a novel maximum likelihood active contour model using level sets …
[PDF][PDF] Survey paper on diagnosis of breast cancer using image processing techniques
Breast cancer is the oldest known type of cancer in humans. The oldest identification and
definition of cancer was recorded in Egypt in around 1600 BC. Since then this disease has …
definition of cancer was recorded in Egypt in around 1600 BC. Since then this disease has …
[PDF][PDF] Identification of abnormal masses in digital mammography images
Mammography is at present one of the available method for early detection of masses or
abnormalities which is related to breast cancer. The most common abnormalities that may …
abnormalities which is related to breast cancer. The most common abnormalities that may …