Deep feature–based automatic classification of mammograms

R Arora, PK Rai, B Raman - Medical & biological engineering & computing, 2020 - Springer
Breast cancer has the second highest frequency of death rate among women worldwide.
Early-stage prevention becomes complex due to reasons unknown. However, some typical …

Pattern recognition and size prediction of microcalcification based on physical characteristics by using digital mammogram images

GR Jothilakshmi, A Raaza, V Rajendran… - Journal of digital …, 2018 - Springer
Breast cancer is one of the life-threatening cancers occurring in women. In recent years,
from the surveys provided by various medical organizations, it has become clear that the …

A survey of mammographic images based breast cancer detection using traditional and conventional approaches

PSA Rakhi, RS Rajesh - AIP Conference Proceedings, 2023 - pubs.aip.org
Breast cancer patients are more likely to have serious health problems and have a higher
mortality rate. The primary reason could be radiologists misinterpreting dangerous lesions …

Breast mass segmentation using mammographic data: a systematic review

H Singh, V Sharma, D Singh - Computer Methods in Biomechanics …, 2023 - Taylor & Francis
Breast cancer continues to be the most prevalent cancer infecting humans worldwide.
Timely detection can assist in the reduction of both mortality rates and treatment costs …

A Breast Mass Image Segmentation Method Based on Improved UNet 3+ Network

S Jin, H Dai, J Peng, Y He, M Zhu… - IECON 2023-49th …, 2023 - ieeexplore.ieee.org
In order to solve the problems of low signal-to-noise ratio, uncertain position, and blurred
edges of mammography images, and to achieve full-view breast mass segmentation, a …

PLANT DISEASE DETECTION METHODS THAT INTEGRATE PICTURE SEGMENTATION WITH SOFT COMPUTING

BA Veera, GRJ Lakshmi - NeuroQuantology, 2022 - search.proquest.com
Agriculture's production contributes significantly to the country's overall economy. Due to the
fact that plants are prone to illness, the identification of disease in plants is essential for …

Feature extraction in image processing and deep learning

Y Li - 2018 - search.proquest.com
This thesis develops theoretical analysis of the approximation properties of neural networks,
and algorithms to extract useful features of images in fields of deep learning, quantum …

Acoustic Anthropogenic Noise Reduction In Pixel Priority Based Algorithm

N Rajkamal - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Priority pixel enhancement for removing hindrances in acoustics. In this paper underwater
sound speed gradient monitoring systems grieved in various conditions data monitoring …

Prediction and classification of aerosol deposition in lung using CT scan images

K Karthika, GRJ Lakshmi - Computational Intelligence for Clinical …, 2023 - Springer
Interstitial lung disease (ILD) is a set of chronic lung disorders that are essential for
establishing treatment since the decisions are based on human research with the use of non …

Soft Computing and Image Processing for Detection and Analysis of Plant Infections

V Babu, GRJ Lakshmi - Mathematical Statistician and Engineering …, 2021 - philstat.org
We provide a comprehensive evaluation of methods for detecting plant diseases in images
taken under normal lighting conditions. The aim of these methods is to use digital image …