Systematic review of computing approaches for breast cancer detection based computer aided diagnosis using mammogram images
DA Zebari, DA Ibrahim, DQ Zeebaree… - Applied Artificial …, 2021 - Taylor & Francis
Breast cancer is one of the most prevalent types of cancer that plagues females. Mortality
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …
[PDF][PDF] Masked face recognition using mobilenet v2 with transfer learning.
Corona virus (COVID-19) is once in a life time calamity that has resulted in thousands of
deaths and security concerns. People are using face masks on a regular basis to protect …
deaths and security concerns. People are using face masks on a regular basis to protect …
Optimal weighted hybrid pattern for content based medical image retrieval using modified spider monkey optimization
N Darapureddy, N Karatapu… - International Journal of …, 2021 - Wiley Online Library
The current approaches for image retrieval are more concentrating on numerous image
features. Texture, shape, spatial information, and color are the fundamental features to deal …
features. Texture, shape, spatial information, and color are the fundamental features to deal …
A robust medical image retrieval system based on wavelet optimization and adaptive block truncation coding
This paper presents a proposed method for medical image retrieval in order to search in a
database for an image that is similar to a query image. The proposed Medical Image …
database for an image that is similar to a query image. The proposed Medical Image …
Segmentation of pectoral muscle from digital mammograms with depth-first search algorithm towards breast density classification
Digital mammography acts as a unique screening technology to protect the lives of females
against breast cancer for the past few decades. Mammographic breast density is a well …
against breast cancer for the past few decades. Mammographic breast density is a well …
Detection of breast cancer through mammogram using wavelet-based LBP features and IWD feature selection technique
Breast cancer is as one of the common reasons of deaths in women. To detect this cancer in
early stage, a computer-aided diagnosis (CAD) system can be designed using X-ray …
early stage, a computer-aided diagnosis (CAD) system can be designed using X-ray …
An enhanced texture-based feature extraction approach for classification of biomedical images of CT-scan of lungs
Content Based Image Retrieval (CBIR) techniques based on texture have gained a lot of
popularity in recent times. In the proposed work, a feature vector is obtained by …
popularity in recent times. In the proposed work, a feature vector is obtained by …
Classification of mammogram images using the energy probability in frequency domain and most discriminative power coefficients
NE Benhassine, A Boukaache… - International Journal of …, 2020 - Wiley Online Library
The purpose of this work is to develop a computer‐aided diagnosis (CAD) system to assist
radiologists in the classification of mammogram images. The CAD system is composed of …
radiologists in the classification of mammogram images. The CAD system is composed of …
Breast tumor detection in digital mammogram based on efficient seed region growing segmentation
N Shrivastava, J Bharti - IETE Journal of Research, 2022 - Taylor & Francis
Breast cancer is increasing rapidly in women these days. It is diagnosed after the symptoms
appear. The detection at an initial stage and the procedure of the treatment are the most …
appear. The detection at an initial stage and the procedure of the treatment are the most …
Face Recognition Using LBPH and CNN
Objective: The purpose of this paper was to use Machine Learning (ML) techniques to
extract facial features from images. Accurate face detection and recognition has long been a …
extract facial features from images. Accurate face detection and recognition has long been a …