Opposition based learning: A literature review
Opposition-based Learning (OBL) is a new concept in machine learning, inspired from the
opposite relationship among entities. In 2005, for the first time the concept of opposition was …
opposite relationship among entities. In 2005, for the first time the concept of opposition was …
A comparative study of breast cancer tumor classification by classical machine learning methods and deep learning method
Yadavendra, S Chand - Machine Vision and Applications, 2020 - Springer
In contemporary times, machine learning is being used in almost every field due to its better
performance. Here, we consider different machine learning methods such as logistic …
performance. Here, we consider different machine learning methods such as logistic …
Benign and malignant breast tumors classification based on region growing and CNN segmentation
Breast cancer is regarded as one of the most frequent mortality causes among women. As
early detection of breast cancer increases the survival chance, creation of a system to …
early detection of breast cancer increases the survival chance, creation of a system to …
Cloud‐Based Lung Tumor Detection and Stage Classification Using Deep Learning Techniques
G Kasinathan, S Jayakumar - Biomed research international, 2022 - Wiley Online Library
Artificial intelligence (AI), Internet of Things (IoT), and the cloud computing have recently
become widely used in the healthcare sector, which aid in better decision‐making for a …
become widely used in the healthcare sector, which aid in better decision‐making for a …
Breast mass classification in digital mammography based on extreme learning machine
This paper presents a novel computer-aided diagnosis (CAD) system for the diagnosis of
breast cancer based on extreme learning machine (ELM). In view of a mammographic …
breast cancer based on extreme learning machine (ELM). In view of a mammographic …
A hybrid artificial bee colony with whale optimization algorithm for improved breast cancer diagnosis
Breast cancer is the most common among women that leads to death if not diagnosed at
early stages. Early diagnosis plays a vital role in decreasing the mortality rate globally …
early stages. Early diagnosis plays a vital role in decreasing the mortality rate globally …
Automated 3-D lung tumor detection and classification by an active contour model and CNN classifier
G Kasinathan, S Jayakumar, AH Gandomi… - Expert Systems with …, 2019 - Elsevier
Abstract The World Health Organization (WHO) recently reported that the lung tumor was the
leading cause of death worldwide. In this study, a practical computer-aided diagnosis (CAD) …
leading cause of death worldwide. In this study, a practical computer-aided diagnosis (CAD) …
Detection and classification of masses in mammographic images in a multi-kernel approach
Abstract Background and Objective According to the World Health Organization, breast
cancer is the main cause of cancer death among adult women in the world. Although breast …
cancer is the main cause of cancer death among adult women in the world. Although breast …
A New Computer‐Aided Diagnosis System with Modified Genetic Feature Selection for BI‐RADS Classification of Breast Masses in Mammograms
Mammography remains the most prevalent imaging tool for early breast cancer screening.
The language used to describe abnormalities in mammographic reports is based on the …
The language used to describe abnormalities in mammographic reports is based on the …
Computer aided diagnosis of glaucoma using discrete and empirical wavelet transform from fundus images
BS Kirar, DK Agrawal - IET Image Processing, 2019 - Wiley Online Library
Glaucoma is a class of eye disorder; it causes progressive deterioration of optic nerve fibres.
Discrete wavelet transforms (DWTs) and empirical wavelet transforms (EWTs) are widely …
Discrete wavelet transforms (DWTs) and empirical wavelet transforms (EWTs) are widely …